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ORCIDWitold Pedrycz
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2025
[j1399]Xu Han
, Qiang Li, Yaling Qi, Hongbo Cao, Witold Pedrycz, Wei Wang:
ScamGen: Unveiling psychological patterns in tele-scam through advanced template-augmented corpus generation. Comput. Hum. Behav. 162: 108451 (2025)- [j1398]Sarah Qahtan, Nahia Mourad, Hassan Abdulsattar Ibrahim, Aws Alaa Zaidan, Bilal Bahaa, Muhammet Deveci, Weiping Ding, Dragan Pamucar, Witold Pedrycz, Saraswathy Shamini:
Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology. Expert Syst. Appl. 259: 125304 (2025) - [j1397]Zhe Liu, Haoye Qiu, Muhammet Deveci, Witold Pedrycz, Patrick Siarry:
Multi-view neutrosophic c-means clustering algorithms. Expert Syst. Appl. 260: 125454 (2025) - [j1396]Jiali Wang, Wenqi Jiang, Ting Huang, Witold Pedrycz:
A large-scale supplier evaluation approach for circular economy in the presence of circular criteria interactions and weight consistency. Expert Syst. Appl. 261: 125500 (2025) - [j1395]Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025) - 2024
- [j1394]Narges Baharloo, Jamal Bentahar, Ghalya Alwhishi, Nagat Drawel, Witold Pedrycz:
Verifying trust over IoT-ad hoc network-based applications under uncertainty. Ad Hoc Networks 154: 103380 (2024) - [j1393]Zhen-Song Chen, Kou-Dan Chen, Ya-Qiang Xu, Witold Pedrycz, Miroslaw J. Skibniewski:
Multiobjective optimization-based decision support for building digital twin maturity measurement. Adv. Eng. Informatics 59: 102245 (2024) - [j1392]Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz:
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024) - [j1391]Fei Yan, Hesheng Huang, Witold Pedrycz, Kaoru Hirota:
Review of medical image processing using quantum-enabled algorithms. Artif. Intell. Rev. 57(11): 300 (2024) - [j1390]Muhammad Gulistan, Hongbin Ying, Witold Pedrycz, Muhammad Rahim, Fazli Amin, Hamiden Abd El-Wahed Khalifa:
p,q,r-Fractional fuzzy sets and their aggregation operators and applications. Artif. Intell. Rev. 57(12): 346 (2024) - [j1389]Alvin Wai Chung Lee, Suet-Peng Yong, Witold Pedrycz, Junzo Watada:
Testing a Vision-Based Autonomous Drone Navigation Model in a Forest Environment. Algorithms 17(4): 139 (2024) - [j1388]Xunjin Wu, Jianming Zhan, Tianrui Li, Weiping Ding, Witold Pedrycz:
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection. Appl. Intell. 54(2): 1706-1733 (2024) - [j1387]Ying Yu, Jinghui Wang, Witold Pedrycz, Duoqian Miao, Jin Qian:
Multi-level information fusion Transformer with background filter for fine-grained image recognition. Appl. Intell. 54(17-18): 8108-8119 (2024) - [j1386]Min Li, Luefeng Chen, Min Wu, Kaoru Hirota, Witold Pedrycz:
Broad-deep network-based fuzzy emotional inference model with personal information for intention understanding in human-robot interaction. Annu. Rev. Control. 57: 100951 (2024) - [j1385]Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu:
Ensemble reinforcement learning: A survey. Appl. Soft Comput. 149(Part A): 110975 (2024) - [j1384]Fei Yan, Hesheng Huang, Witold Pedrycz, Kaoru Hirota:
A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization. Appl. Soft Comput. 151: 111123 (2024) - [j1383]Muhammet Deveci, Ilgin Gökasar, Dragan Pamucar, Aws Alaa Zaidan, Wei Wei, Witold Pedrycz:
Advantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision making. Appl. Soft Comput. 151: 111136 (2024) - [j1382]Bingsheng Liu, Boyang Wang, Yinghua Shen, Witold Pedrycz, Yuan Chen:
Granular fuzzy rule-based model construction under the collaboration of multiple organizations. Appl. Soft Comput. 152: 111191 (2024) - [j1381]Fan Bu, Congcong Zhang, Eun-Hu Kim, Dachun Yang, Zunwei Fu, Witold Pedrycz:
Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy. Appl. Soft Comput. 154: 111403 (2024) - [j1380]Kuo Pang, Yifan Lu, Luis Martínez-López, Witold Pedrycz, Li Zou, Mingyu Lu:
A conceptual clustering method for large-scale group decision-making with linguistic truth-valued lattice implication algebra. Appl. Soft Comput. 155: 111418 (2024) - [j1379]Ziqian Luo, Fang Liu, Qi-Rui You, Witold Pedrycz:
A two-objective-optimization-driven group decision making model under the bipolarity of decision information. Appl. Soft Comput. 155: 111439 (2024) - [j1378]Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, Almetwally M. Mostafa, Zhi-Wu Li:
A design of fuzzy rule-based classifier optimized through softmax function and information entropy. Appl. Soft Comput. 156: 111498 (2024) - [j1377]Ao Hu, Kaijie Xu, Witold Pedrycz, Mengdao Xing:
LiDAR point cloud simplification algorithm with fuzzy encoding-decoding mechanism. Appl. Soft Comput. 162: 111852 (2024) - [j1376]Mohammed Talal, Michael Loong Peng Tan, Dragan Pamucar, Dursun Delen, Witold Pedrycz, Vladimir Simic:
Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management. Appl. Soft Comput. 166: 112132 (2024) - [j1375]Yuqing Tang, Fusheng Yu, Witold Pedrycz, Fang Li, Chenxi Ouyang:
Oriented to a multi-learning mode: Establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting. Appl. Soft Comput. 166: 112195 (2024) - [j1374]Hongyue Guo, Yashuang Mu, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Granular computing-based time series anomaly pattern detection with semantic interpretation. Appl. Soft Comput. 167: 112318 (2024) - [j1373]Li Ying, Duoqian Miao, Zhifei Zhang, Hongyun Zhang, Witold Pedrycz:
Multi-granularity feature enhancement network for maritime ship detection. CAAI Trans. Intell. Technol. 9(3): 649-664 (2024) - [j1372]Weidong Wu, Haiming Liang, Yuzhu Wu, Bowen Zhang, Witold Pedrycz:
Minimum cost with consensus constraint to support multi-attribute product design. Comput. Ind. Eng. 192: 110190 (2024) - [j1371]Han Wang, Yao-Jiao Xin, Muhammet Deveci, Witold Pedrycz, Zengqiang Wang, Zhen-Song Chen:
Leveraging online reviews and expert opinions for electric vehicle type prioritization. Comput. Ind. Eng. 197: 110579 (2024) - [j1370]Xueqin Liang, Xiaokang Wang, Chonggang Wang, Witold Pedrycz:
Introduction to the Special Issue on Recent Advances of Blockchain Evolution: Architecture and Performance. Distributed Ledger Technol. Res. Pract. 3(2): 8 (2024) - [j1369]Muhammet Deveci, Dragan Pamucar, Ilgin Gökasar, Luis Martínez, Mario Köppen, Witold Pedrycz:
Accelerating the integration of the metaverse into urban transportation using fuzzy trigonometric based decision making. Eng. Appl. Artif. Intell. 127(Part A): 107242 (2024) - [j1368]Jiamin Liu, Tao Wang, Feng Yao, Witold Pedrycz, Yanjie Song, Renjie He:
Assessing growth potential of careers with occupational mobility network and ensemble framework. Eng. Appl. Artif. Intell. 127(Part A): 107306 (2024) - [j1367]Karrar Hameed Abdulkareem, Mohammed Ahmed Subhi, Mazin Abed Mohammed, Mayas Aljibawi, Jan Nedoma, Radek Martinek, Muhammet Deveci, Wen-Long Shang, Witold Pedrycz:
A manifold intelligent decision system for fusion and benchmarking of deep waste-sorting models. Eng. Appl. Artif. Intell. 132: 107926 (2024) - [j1366]Tingting Pan, Witold Pedrycz, Jie Yang, Jian Wang:
An improved generative adversarial network to oversample imbalanced datasets. Eng. Appl. Artif. Intell. 132: 107934 (2024) - [j1365]Jian Wang, Xiaofeng Xue, Zhixue Sun, Jun Yao, El-Sayed M. El-Alfy, Kai Zhang, Witold Pedrycz, Jacek Mandziuk:
Theory guided Lagrange programming neural network for subsurface flow problems. Eng. Appl. Artif. Intell. 134: 108656 (2024) - [j1364]Shoaib Azam, Farzeen Munir, Ville Kyrki, Tomasz Piotr Kucner, Moongu Jeon, Witold Pedrycz:
Exploring Contextual Representation and Multi-modality for End-to-end Autonomous Driving. Eng. Appl. Artif. Intell. 135: 108767 (2024) - [j1363]Peng Wang, Peide Liu, Yueyuan Li, Fei Teng, Witold Pedrycz:
Trust exploration- and leadership incubation- based opinion dynamics model for social network group decision-making: A quantum theory perspective. Eur. J. Oper. Res. 317(1): 156-170 (2024) - [j1362]Fanyong Meng, Dengyu Zhao, Zaiwu Gong, Junfei Chu, Witold Pedrycz, Zhe Yuan:
Consensus adjustment for multi-attribute group decision making based on cross-allocation. Eur. J. Oper. Res. 318(1): 200-216 (2024) - [j1361]Ting Huang, Witold Pedrycz, Qiang Zhang, Xiaoan Tang, Shanlin Yang:
Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity. Eur. J. Oper. Res. 318(3): 892-910 (2024) - [j1360]Hassan A. AlSattar, Sarah Qahtan, Aws Alaa Zaidan, Muhammet Deveci, Luis Martínez, Dragan Pamucar, Witold Pedrycz:
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy. Expert Syst. Appl. 236: 121300 (2024) - [j1359]Iman Mohamad Sharaf, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Muhammet Deveci, Mohammed Talal, Ahmed Shihab Albahri, Dursun Delen, Witold Pedrycz:
Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model. Expert Syst. Appl. 237(Part A): 121420 (2024) - [j1358]Xinxing Wu, Zhiyi Zhu, Guanrong Chen, Witold Pedrycz, Lantian Liu, Manish Aggarwal:
Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen-Shannon divergence. Expert Syst. Appl. 237(Part B): 121554 (2024) - [j1357]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. 241: 122666 (2024) - [j1356]Narges Baharloo, Jamal Bentahar, Nagat Drawel, Witold Pedrycz:
Model checking combined trust and commitments in Multi-Agent Systems. Expert Syst. Appl. 243: 122856 (2024) - [j1355]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz:
MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment. Expert Syst. Appl. 245: 123113 (2024) - [j1354]Majed M. Alateeq, Witold Pedrycz:
Logic-oriented fuzzy neural networks: A survey. Expert Syst. Appl. 257: 125120 (2024) - [j1353]Yi Yang, Zhen-Song Chen, Witold Pedrycz, Marisol Gómez, Humberto Bustince:
Using I-subgroup-based weighted generalized interval t-norms for aggregating basic uncertain information. Fuzzy Sets Syst. 476: 108771 (2024) - [j1352]Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Weiping Ding:
FRCM: A fuzzy rough c-means clustering method. Fuzzy Sets Syst. 480: 108860 (2024) - [j1351]Ngo Van Hoa, Tofigh Allahviranloo, Witold Pedrycz:
A new approach to the fractional Abel k-integral equations and linear fractional differential equations in a fuzzy environment. Fuzzy Sets Syst. 481: 108895 (2024) - [j1350]Pawel Karczmarek, Adam Gregosiewicz, Zbigniew A. Lagodowski, Michal Dolecki, Lukasz Galka, Pawel Powroznik, Witold Pedrycz, Kamil Jonak:
Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral. Fuzzy Sets Syst. 483: 108926 (2024) - [j1349]Zhen-Song Chen, Yi Yang, LeSheng Jin, Bapi Dutta, Luis Martínez, Witold Pedrycz, Radko Mesiar, Humberto Bustince:
Generalized extended Bonferroni means for isomorphic membership grades. Fuzzy Sets Syst. 488: 109009 (2024) - [j1348]Huilin Yang, Fusheng Yu, Witold Pedrycz, Zonglin Yang, Jiaqi Chang, Jiayin Wang:
An auto-weighted enhanced horizontal collaborative fuzzy clustering algorithm with knowledge adaption mechanism. Int. J. Approx. Reason. 169: 109169 (2024) - [j1347]Muhammad Gulistan, Witold Pedrycz:
Introduction to q-Fractional Fuzzy Set. Int. J. Fuzzy Syst. 26(5): 1399-1416 (2024) - [j1346]Yudi Zhang, Tengfei Zhang, Chen Peng, Fumin Ma, Witold Pedrycz:
Rough Fuzzy K-Means Clustering Based on Parametric Decision-Theoretic Shadowed Set with Three-Way Approximation. Int. J. Fuzzy Syst. 26(5): 1698-1715 (2024) - [j1345]Yi Yang, Dan-Xia Xia, Witold Pedrycz, Muhammet Deveci, Zhen-Song Chen:
Cross-Platform Distributed Product Online Ratings Aggregation Approach for Decision Making with Basic Uncertain Linguistic Information. Int. J. Fuzzy Syst. 26(6): 1936-1957 (2024) - [j1344]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Mariusz Wrzesien:
Time series classification with their image representation. Neurocomputing 573: 127214 (2024) - [j1343]Mirko Farina, Usman Ahmad, Ahmad Taha, Hussein Younes, Yusuf Mesbah, Xiao Yu, Witold Pedrycz:
Sparsity in transformers: A systematic literature review. Neurocomputing 582: 127468 (2024) - [j1342]Rami Al-Hmouz, Witold Pedrycz, Medhat Awadallah, Ahmed Chiheb Ammari:
Granular transfer learning. Neurocomputing 600: 128126 (2024) - [j1341]Zhen-Song Chen, Zhuo-Ran Wang, Muhammet Deveci, Weiping Ding, Witold Pedrycz, Miroslaw J. Skibniewski:
Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives. Inf. Fusion 102: 102026 (2024) - [j1340]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz, Nagat Drawel:
Multi-valued model checking IoT and intelligent systems with commitment protocols in multi-source data environments. Inf. Fusion 102: 102048 (2024) - [j1339]Qianli Zhou, Ye Cui, Witold Pedrycz, Yong Deng:
Conjunctive and disjunctive combination rules in random permutation set theory: A layer-2 belief structure perspective. Inf. Fusion 102: 102083 (2024) - [j1338]Zhen-Song Chen, Chong-Ze Liang, Ya-Qiang Xu, Witold Pedrycz, Miroslaw J. Skibniewski:
Dynamic collective opinion generation framework for digital transformation barrier analysis in the construction industry. Inf. Fusion 103: 102096 (2024) - [j1337]Ahmed Shihab Albahri, Rula A. Hamid, Ahmed Raheem Abdulnabi, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Muhammet Deveci, Witold Pedrycz, Laith Alzubaidi, José Santamaría, Yuantong Gu:
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks. Inf. Fusion 105: 102208 (2024) - [j1336]Sha Fan, Haiming Liang, Witold Pedrycz, Dong Yue:
Integrating incomplete preference estimation and consistency control in consensus reaching. Inf. Fusion 106: 102268 (2024) - [j1335]Qiurui Liu, Yanfang Ma, Lin Chen, Witold Pedrycz, Miroslaw J. Skibniewski, Zhen-Song Chen:
Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review. Inf. Fusion 109: 102423 (2024) - [j1334]Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian:
Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion 109: 102426 (2024) - [j1333]Sha Fan, Haiming Liang, Cong-Cong Li, Francisco Chiclana, Witold Pedrycz, Yucheng Dong:
Optimal resources allocation to support the consensus reaching in group decision making. Inf. Fusion 110: 102451 (2024) - [j1332]Zhe Liu, Muhammet Deveci, Dragan Pamucar, Witold Pedrycz:
An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis. Inf. Fusion 110: 102458 (2024) - [j1331]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz:
Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings. Inf. Fusion 111: 102502 (2024) - [j1330]Zhenyu Jiang, Jiliang Li, Qinnan Hu, Weizhi Meng, Witold Pedrycz, Zhou Su:
Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection. IEEE Internet Things J. 11(16): 26955-26969 (2024) - [j1329]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov, Oleg H. Huseynov, Rafig R. Aliyev:
Z-relation-based multistage decision making. Inf. Sci. 653: 119799 (2024) - [j1328]Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang:
Multi-association evidential feature selection and its application to identifying schizophrenia. Inf. Sci. 674: 120647 (2024) - [j1327]Waldemar W. Koczkodaj, Witold Pedrycz, Alexander Pigazzini, Yingli Song, Jacek Szybowski:
On homology groups for pairwise comparisons method. Inf. Sci. 681: 121195 (2024) - [j1326]Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon:
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media. J. Big Data 11(1): 12 (2024) - [j1325]Mingjie Gao, Wei Huang, Shaohua Wan, Sung-Kwun Oh, Witold Pedrycz:
Cascade AdaBoost Neural Network Classifier: Analysis and Design. J. Circuits Syst. Comput. 33(7): 2450124:1-2450124:22 (2024) - [j1324]Baitong Chen, Jianhua Yang, Wei Lu, Witold Pedrycz, Changhai Sun:
Distributed Event-Triggered Algorithm with Network Independent Step-Size for Constraint-Coupled Optimization Problems. J. Circuits Syst. Comput. 33(12): 2450222:1-2450222:24 (2024) - [j1323]Weizhong Wang, Yi Wang, Yu Chen, Muhammet Deveci, Seifedine Kadry, Witold Pedrycz:
Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model. J. Ind. Inf. Integr. 40: 100614 (2024) - [j1322]Seyyed Meysam Rozehkhani, Farnaz Mahan, Witold Pedrycz:
Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation. J. Netw. Comput. Appl. 226: 103885 (2024) - [j1321]Jindong Qin, Mingzhi Zeng, Xiao Wei, Witold Pedrycz:
Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis. J. Oper. Res. Soc. 75(5): 860-873 (2024) - [j1320]Luefeng Chen, Xiao Liu, Min Wu, Chengda Lu, Witold Pedrycz, Kaoru Hirota:
A LESO Based Backstepping Controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process. J. Syst. Sci. Complex. 37(5): 1789-1808 (2024) - [j1319]Yoonji Baek, Hanju Kim, Myungha Cho, Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, Heonho Kim, Bay Vo, Vincent W. Gan, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Witold Pedrycz, Unil Yun:
An efficient approach for incremental erasable utility pattern mining from non-binary data. Knowl. Inf. Syst. 66(10): 5919-5958 (2024) - [j1318]Lu Chen, Witold Pedrycz, Haiyan Xu:
Analysis of power asymmetry conflict based on fuzzy options graph models. Knowl. Based Syst. 284: 111221 (2024) - [j1317]Yong Wang, Kuichao Li, Gai-Ge Wang, Dunwei Gong, Witold Pedrycz:
A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems. Knowl. Based Syst. 284: 111227 (2024) - [j1316]Qin Chang, Zhen Zhang, Fanyue Wei, Jian Wang, Witold Pedrycz, Nikhil R. Pal:
Adaptive Nonstationary Fuzzy Neural Network. Knowl. Based Syst. 288: 111398 (2024) - [j1315]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Kisung Seo:
A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. Knowl. Based Syst. 289: 111481 (2024) - [j1314]Zhen-Song Chen, Yan Wang, Yue-Hua Chen, Abbas Mardani, Witold Pedrycz, Luis Martínez-López:
Towards a collective opinion generation approach with multiple objectives for evaluating rail transit station accessibility in urban areas. Knowl. Based Syst. 294: 111721 (2024) - [j1313]Vule Mizdrakovic, Maja Kljajic, Miodrag Zivkovic, Nebojsa Bacanin, Luka Jovanovic, Muhammet Deveci, Witold Pedrycz:
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values. Knowl. Based Syst. 299: 112026 (2024) - [j1312]Weihao Zhang, Lei Yu, Huiqi Wang, Witold Pedrycz:
End-to-end dynamic residual focal transformer network for multimodal medical image fusion. Neural Comput. Appl. 36(19): 11579-11601 (2024) - [j1311]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai Nagaratnam Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani, Qiang Feng:
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86: 101517 (2024) - [j1310]Tianwei Zhou, Zhenghan Zhou, Haiyun Qiu, Ben Niu, Gabriel Xiao-Guang Yue, Witold Pedrycz:
Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles. Swarm Evol. Comput. 90: 101680 (2024) - [j1309]Weichang Sun, Zhihao Luo, Xingchen Hu, Witold Pedrycz, Jianmai Shi:
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre-reconnaissance. Swarm Evol. Comput. 91: 101699 (2024) - [j1308]Lingjing Luo, Hang Yang, Zhiwu Li, Witold Pedrycz:
Learning to Score: A Coding System for Constructed Response Items via Interactive Clustering. Syst. 12(9): 380 (2024) - [j1307]Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Ran Yan, Dongming Fan, Yue Zhang:
Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4073-4087 (2024) - [j1306]Guohua Wu, Zhiqing Xiang, Yalin Wang, Yi Gu, Witold Pedrycz:
Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites. IEEE Trans. Aerosp. Electron. Syst. 60(5): 7185-7200 (2024) - [j1305]Wentao Li, Chaojun Deng, Witold Pedrycz, Oscar Castillo, Chao Zhang, Tao Zhan:
Double-Quantitative Feature Selection Approach for Multigranularity Ordered Decision Systems. IEEE Trans. Artif. Intell. 5(5): 2385-2396 (2024) - [j1304]Yiming Tang, Jianwei Gao, Witold Pedrycz, Xianghui Hu, Lei Xi, Fuji Ren, Min Hu:
Modeling and Clustering of Parabolic Granular Data. IEEE Trans. Artif. Intell. 5(7): 3728-3742 (2024) - [j1303]Xiuyu Huang, Kup-Sze Choi, Nan Zhou, Yuanpeng Zhang, Badong Chen, Witold Pedrycz:
Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification. IEEE Trans. Cogn. Dev. Syst. 16(2): 521-533 (2024) - [j1302]Xiuyu Huang, Kup-Sze Choi, Shuang Liang, Yuanpeng Zhang, Yingkui Zhang, Simon K. Poon, Witold Pedrycz:
Frequency Domain Channel-Wise Attack to CNN Classifiers in Motor Imagery Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 71(5): 1587-1598 (2024) - [j1301]Nahia Mourad, Hassan A. AlSattar, Sarah Qahtan, Aws Alaa Zaidan, Muhammet Deveci, Arun Kumar Sangaiah, Witold Pedrycz:
Decisioning-Based Approach for Optimising Control Engineering Tools Using Digital Twin Capabilities and Other Cyber-Physical Metaverse Manufacturing System Components. IEEE Trans. Consumer Electron. 70(1): 3212-3221 (2024) - [j1300]Xiubin Zhu, Witold Pedrycz, Ting Qu, Zhiwu Li:
From Numeric to Granular Models: A Quest for Error and Performance Analysis. IEEE Trans. Cybern. 54(1): 150-161 (2024) - [j1299]Cong Wang, MengChu Zhou, Witold Pedrycz, Zhiwu Li:
Comparative Study on Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation. IEEE Trans. Cybern. 54(1): 241-253 (2024) - [j1298]Tengfei Zhang, Yudi Zhang, Fumin Ma, Chen Peng, Dong Yue, Witold Pedrycz:
Local Boundary Fuzzified Rough K-Means-Based Information Granulation Algorithm Under the Principle of Justifiable Granularity. IEEE Trans. Cybern. 54(1): 519-532 (2024) - [j1297]Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung:
Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning. IEEE Trans. Cybern. 54(1): 533-545 (2024) - [j1296]Hongyue Guo, Mengjun Wan, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Weighted Fuzzy Clustering for Time Series With Trend-Based Information Granulation. IEEE Trans. Cybern. 54(2): 903-914 (2024) - [j1295]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Incremental Fuzzy Clustering-Based Neural Networks Driven With the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models. IEEE Trans. Cybern. 54(5): 2978-2991 (2024) - [j1294]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Kisung Seo:
Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis. IEEE Trans. Cybern. 54(9): 4875-4888 (2024) - [j1293]Zulin Liu, Fang Liu, Huonian Tu, Witold Pedrycz, Zuofang Yao:
A Relative Projection-Based Multiattribute Group Decision-Making Model With Noncooperative Behavior Management and Application to NEV Supplier Selection. IEEE Trans. Cybern. 54(10): 5852-5865 (2024) - [j1292]Jie Zhou, Ge Yuan, Can Gao, Xizhao Wang, Jianhua Dai, Witold Pedrycz:
Fuzzy Clustering Guided by Spectral Rotation and Scaling. IEEE Trans. Cybern. 54(11): 6471-6484 (2024) - [j1291]Jie Wang, Zheng Yan, Jiahe Lan, Elisa Bertino, Witold Pedrycz:
TrustGuard: GNN-Based Robust and Explainable Trust Evaluation With Dynamicity Support. IEEE Trans. Dependable Secur. Comput. 21(5): 4433-4450 (2024) - [j1290]Jian-Peng Chang, Hong-Liang Zheng, Abbas Mardani, Witold Pedrycz, Zhen-Song Chen:
Evaluating Holistic Privacy Risk Posed by Smart Home Ecosystem: A Capability-Oriented Model Accommodating Epistemic Uncertainty and Wisdom of Crowds. IEEE Trans. Engineering Management 71: 5372-5390 (2024) - [j1289]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz:
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 126-139 (2024) - [j1288]Yiming Tang, Jingjing Chen, Witold Pedrycz, Fuji Ren, Li Zhang:
Universal Quintuple Implicational Algorithm: A Unified Granular Computing Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 1044-1056 (2024) - [j1287]LeSheng Jin, Zhen-Song Chen, Witold Pedrycz, Tapan Senapati, Boris Yatsalo, Radko Mesiar, Gleb Beliakov, Luis Martínez:
Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1102-1109 (2024) - [j1286]Tailong Jing, Witold Pedrycz, Xiubin Zhu, Giancarlo Succi, ZhiWu Li:
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1136-1141 (2024) - [j1285]Qian Shi, Hui Zhang, Witold Pedrycz:
Robust Learning-Based Gain-Scheduled Path Following Controller Design for Autonomous Ground Vehicles. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1427-1436 (2024) - [j1284]Yifan Wang, Hisao Ishibuchi, Witold Pedrycz, Jihua Zhu, Xiangyong Cao, Jun Wang:
Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3279-3293 (2024) - [j1283]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Jin Hee Yoon:
Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning. IEEE Trans. Fuzzy Syst. 32(3): 1208-1222 (2024) - [j1282]Fan Li, Yongming Li, Yinghua Shen, Witold Pedrycz, Xiaoheng Zhang, Pin Wang, Pufei Li, Chuanyan Zhou, Huan Cheng:
Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced Ensemble Classification. IEEE Trans. Fuzzy Syst. 32(3): 1248-1262 (2024) - [j1281]Zonglin Yang, Fusheng Yu, Witold Pedrycz, Huilin Yang, Yuqing Tang, Chenxi Ouyang:
A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series. IEEE Trans. Fuzzy Syst. 32(3): 1263-1277 (2024) - [j1280]Xu Yang, Hongyan Xing, Xinyuan Ji, Xin Su, Witold Pedrycz:
Multitime Scale Thunderstorm Monitoring System With Real-Time Warning and Imaging. IEEE Trans. Fuzzy Syst. 32(4): 1821-1835 (2024) - [j1279]Youpeng Yang, Sanghyuk Lee, Haolan Zhang, Xiaowei Huang, Witold Pedrycz:
Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition. IEEE Trans. Fuzzy Syst. 32(4): 1836-1847 (2024) - [j1278]Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu:
An Efficient Federated Multiview Fuzzy C-Means Clustering Method. IEEE Trans. Fuzzy Syst. 32(4): 1886-1899 (2024) - [j1277]Witold Pedrycz, Xianmin Wang:
Optimal Granularity of Machine Learning Models: A Perspective of Granular Computing. IEEE Trans. Fuzzy Syst. 32(4): 2176-2186 (2024) - [j1276]Yingying Liang, Witold Pedrycz, Jindong Qin:
Optimizing-Information-Granule-Based Consensus Reaching Model in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 32(4): 2413-2427 (2024) - [j1275]Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo, Jin Hee Yoon:
Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture. IEEE Trans. Fuzzy Syst. 32(5): 2915-2929 (2024) - [j1274]Xiubin Zhu, Xingchen Hu, Lan Yang, Witold Pedrycz, Zhiwu Li:
A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees. IEEE Trans. Fuzzy Syst. 32(5): 2976-2986 (2024) - [j1273]Yiming Tang, Jianwei Gao, Witold Pedrycz, Lei Xi, Fuji Ren:
An Overall Framework of Modeling, Clustering, and Evaluation for Trapezoidal Information Granules. IEEE Trans. Fuzzy Syst. 32(6): 3484-3496 (2024) - [j1272]Ge Zhang, Xiubin Zhu, Li Yin, Witold Pedrycz, Zhiwu Li:
Fuzzy Prediction Model in Privacy Protection: Takagi-Sugeno Rules Model via Differential Privacy. IEEE Trans. Fuzzy Syst. 32(6): 3716-3728 (2024) - [j1271]Ziwei Bian, Qin Chang, Jian Wang, Witold Pedrycz, Nikhil R. Pal:
Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Multilabel Classification. IEEE Trans. Fuzzy Syst. 32(6): 3790-3804 (2024) - [j1270]Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Zhen Peng:
SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure. IEEE Trans. Fuzzy Syst. 32(7): 4133-4147 (2024) - [j1269]Zhen-Sheng Zang, Rui Yin, Wei Lu, Witold Pedrycz, Liyong Zhang:
A Linguistically Interpretable Deep Fuzzy Classification System With Feature Transformation and Reconstruction. IEEE Trans. Fuzzy Syst. 32(8): 4297-4311 (2024) - [j1268]Chenxi Ouyang, Fei Yang, Fusheng Yu, Witold Pedrycz, Wladyslaw Homenda, Jiaqi Chang, Qian He, Zonglin Yang:
Constructing Spatial Relationship and Temporal Relationship Oriented Composite Fuzzy Cognitive Maps for Multivariate Time Series Forecasting. IEEE Trans. Fuzzy Syst. 32(8): 4338-4351 (2024) - [j1267]Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Zeshui Xu:
CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity. IEEE Trans. Fuzzy Syst. 32(8): 4388-4400 (2024) - [j1266]Bozena Malysiak-Mrozek, Bartlomiej Ryba, Marek Moleda, Che-Lun Hung, Witold Pedrycz, Weiping Ding, Dariusz Mrozek:
Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka. IEEE Trans. Fuzzy Syst. 32(8): 4671-4684 (2024) - [j1265]Yuanhang Zheng, Zeshui Xu, Yufei Li, Witold Pedrycz, Zhang Yi:
Biobjective Optimization Method for Large-Scale Group Decision Making Based on Hesitant Fuzzy Linguistic Preference Relations With Granularity Levels. IEEE Trans. Fuzzy Syst. 32(8): 4759-4771 (2024) - [j1264]Sheng Du, Xian Ma, Min Wu, Weihua Cao, Witold Pedrycz:
Time Series Anomaly Detection via Rectangular Information Granulation for Sintering Process. IEEE Trans. Fuzzy Syst. 32(8): 4799-4804 (2024) - [j1263]Jiqiang Chen, Litao Ma, Witold Pedrycz, Xu Wang:
A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints. IEEE Trans. Fuzzy Syst. 32(9): 5073-5085 (2024) - [j1262]Xingchen Hu, Xiubin Zhu, Lan Yang, Witold Pedrycz, Zhiwu Li:
A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning. IEEE Trans. Fuzzy Syst. 32(9): 5098-5108 (2024) - [j1261]Zhen Wang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz, Seok-Beom Roh, Jin Hee Yoon:
Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique. IEEE Trans. Fuzzy Syst. 32(9): 5385-5399 (2024) - [j1260]Hao Huang, Sung-Kwun Oh, Zunwei Fu, Chuan-Kun Wu, Witold Pedrycz, Jin-Yul Kim:
FSCNN: Fuzzy Channel Filter-Based Separable Convolution Neural Networks for Medical Imaging Recognition. IEEE Trans. Fuzzy Syst. 32(10): 5449-5461 (2024) - [j1259]Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j1258]Zheng Wang, Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Jin Hee Yoon:
Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. IEEE Trans. Fuzzy Syst. 32(10): 5674-5686 (2024) - [j1257]Qi Lang, Witold Pedrycz, Xiaodong Liu, Yan Fang:
A Tree-Shaped Fuzzy Clustering Answer Retrieval Model Based on Question Alignment. IEEE Trans. Fuzzy Syst. 32(10): 5845-5857 (2024) - [j1256]Yuqing Tang, Fusheng Yu, Witold Pedrycz:
Synergizing Two Types of Fuzzy Information Granules for Accurate and Interpretable Multistep Forecasting of Time Series. IEEE Trans. Fuzzy Syst. 32(10): 5910-5923 (2024) - [j1255]Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz:
Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. IEEE Trans. Fuzzy Syst. 32(11): 6056-6068 (2024) - [j1254]Jie Hu, Min Wu, Weihua Cao, Witold Pedrycz:
Dynamic Modeling Framework Based on Automatic Identification of Operating Conditions for Sintering Carbon Consumption Prediction. IEEE Trans. Ind. Electron. 71(3): 3133-3141 (2024) - [j1253]Xiaohan Yuan, Jiqiang Liu, Bin Wang, Wei Wang, Bin Wang, Tao Li, Xiaobo Ma, Witold Pedrycz:
FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks. IEEE Trans. Inf. Forensics Secur. 19: 777-792 (2024) - [j1252]Eun-Hu Kim, Zheng Wang, Hao Zong, Ziwu Jiang, Zunwei Fu, Witold Pedrycz:
Design of Tobacco Leaves Classifier Through Fuzzy Clustering-Based Neural Networks With Multiple Histogram Analyses of Images. IEEE Trans. Ind. Informatics 20(3): 4698-4709 (2024) - [j1251]Yuanfeng Huang, Sheng Du, Jie Hu, Witold Pedrycz, Min Wu:
Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace. IEEE Trans. Ind. Informatics 20(4): 5864-5873 (2024) - [j1250]Jie Hu, Min Wu, Weihua Cao, Witold Pedrycz:
Soft-Sensing of Burn-Through Point Based on Weighted Kernel Just-in-Time Learning and Fuzzy Broad-Learning System in Sintering Process. IEEE Trans. Ind. Informatics 20(5): 7316-7324 (2024) - [j1249]Huimin Zhang, Xingchen Hu, Xiubin Zhu, Xinwang Liu, Witold Pedrycz:
Application of Gradient Boosting in the Design of Fuzzy Rule-Based Regression Models. IEEE Trans. Knowl. Data Eng. 36(11): 5621-5632 (2024) - [j1248]Juanying Xie, Mingzhao Wang, Philip W. Grant, Witold Pedrycz:
Feature Selection With Discernibility and Independence Criteria. IEEE Trans. Knowl. Data Eng. 36(11): 6195-6209 (2024) - [j1247]Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang:
Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 36(11): 7326-7339 (2024) - [j1246]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [j1245]Wei Huang, Mingxi Sun, Liehuang Zhu, Sung-Kwun Oh, Witold Pedrycz:
Deep Fuzzy Min-Max Neural Network: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8229-8240 (2024) - [j1244]Luefeng Chen, Min Li, Min Wu, Witold Pedrycz, Kaoru Hirota:
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9663-9673 (2024) - [j1243]Wei Huang, Yueyue Xiao, Sung-Kwun Oh, Witold Pedrycz, Liehuang Zhu:
Random Polynomial Neural Networks: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15589-15599 (2024) - [j1242]Luefeng Chen, Min Li, Min Wu, Witold Pedrycz, Kaoru Hirota:
Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 64-75 (2024) - [j1241]Fanyong Meng, Zongrun Wang, Witold Pedrycz, Chunqiao Tan:
Consensus Analysis for Large-Scale Group Decision Making Based on Two-Stage Nash-Bargaining Game. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 556-567 (2024) - [j1240]Yueqi Chen, Witold Pedrycz, Jian Wang, Chao Zhang, Jie Yang:
A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 774-786 (2024) - [j1239]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 915-924 (2024) - [j1238]Yanjie Song, Junwei Ou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Xinwei Wang, Lining Xing, Yue Zhang:
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2576-2589 (2024) - [j1237]Tao Zhan, Yuanqing Xia, Wentao Li, Witold Pedrycz, Shuping Ma:
Adaptive Sliding Mode Control for Nonlinear Impulsive Time-Delay Hybrid Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4688-4700 (2024) - [j1236]Xiaofeng Xu, Ziru Lin, Xiang Li, Wanli Yi, Witold Pedrycz:
Flexible Districting Policy for the Multiperiod Emergency Resource Allocation Problem With Demand Priority. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6977-6988 (2024) - [j1235]Yuan Su, Yuheng Wang, Jiliang Li, Zhou Su, Witold Pedrycz, Qinnan Hu:
Oracle Based Privacy-Preserving Cross-Domain Authentication Scheme. IEEE Trans. Sustain. Comput. 9(4): 602-614 (2024) - [j1234]Siyou Tao, Zhiyang Ju, Liang Li, Hui Zhang, Witold Pedrycz:
Tire Road Friction Coefficient Estimation for Individual Wheel Based on Two Robust PMI Observers and a Multilayer Perceptron. IEEE Trans. Veh. Technol. 73(9): 12530-12541 (2024) - [c286]Rauzan Sumara, Wladyslaw Homenda, Witold Pedrycz, Fusheng Yu:
A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification. ICCS (3) 2024: 120-128 - [c285]Xiao Liu, Luefeng Chen, Min Wu, Weihua Cao, Chengda Lu, Witold Pedrycz:
Robust Control of Feeding Speed for Coal Mine Tunnel Drilling Machines. ICIT 2024: 1-6 - [c284]Rauzan Sumara, Wladyslaw Homenda, Witold Pedrycz:
ARFIMA for Feature-Based Time Series Classification. PACIS 2024 - [i46]Jia Wei, Xingjun Zhang, Witold Pedrycz:
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion. CoRR abs/2403.15766 (2024) - [i45]Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen:
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR abs/2404.05253 (2024) - [i44]Serena Nicolazzo, Antonino Nocera, Witold Pedrycz:
Service Level Agreements and Security SLA: A Comprehensive Survey. CoRR abs/2405.00009 (2024) - [i43]Da Fu, Mingfei Rong, Eun-Hu Kim, Hao Huang, Witold Pedrycz:
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects. CoRR abs/2405.04093 (2024) - [i42]Zihang Jia, Zhen Zhang, Witold Pedrycz:
Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity. CoRR abs/2405.06904 (2024) - [i41]Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD. CoRR abs/2407.00005 (2024) - [i40]Jie Yang, Lingyun Xiaodiao, Guoyin Wang, Witold Pedrycz, Shuyin Xia, Qinghua Zhang, Di Wu:
A robust three-way classifier with shadowed granular-balls based on justifiable granularity. CoRR abs/2407.11027 (2024) - [i39]Yingying Ren, Qiuli Li, Yangyang Guo, Witold Pedrycz, Lining Xing, Anfeng Liu, Yanjie Song:
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode. CoRR abs/2408.16300 (2024) - [i38]Zhuolin Li, Zhen Zhang, Witold Pedrycz:
An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting. CoRR abs/2409.02760 (2024) - [i37]Yi Liu, Xiaoan Tang, Witold Pedrycz, Qiang Zhang:
Cost-Effective Community-Hierarchy-Based Mutual Voting Approach for Influence Maximization in Complex Networks. CoRR abs/2409.14034 (2024) - 2023
- [b12]Mehdi Soltanifar, Hamid Sharafi, Farhad Hosseinzadeh Lotfi, Witold Pedrycz, Tofigh Allahviranloo:
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis. Springer 2023, ISBN 978-3-031-30402-6, pp. 1-185 - [b11]Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour-GhalehJough:
Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. Studies in Computational Intelligence 1121, Springer 2023, ISBN 978-3-031-44741-9, pp. 1-344 - [j1233]Merab Gogichaty, Vladimir Ivanov, Artem V. Kruglov, Witold Pedrycz, Aliya Samatova, Giancarlo Succi, Raphael Valeev:
A Systemic Approach to Evaluating the Organizational Agility in Large-Scale Companies. IEEE Access 11: 3307-3323 (2023) - [j1232]Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Zamira Kholmatova, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi:
Qualitative Clustering of Software Repositories Based on Software Metrics. IEEE Access 11: 14716-14727 (2023) - [j1231]Hang Yang, Xunbo Li, Zhigui Liu, Witold Pedrycz:
Improved Differential Privacy Noise Mechanism in Quantum Machine Learning. IEEE Access 11: 50157-50164 (2023) - [j1230]Yegor Bugayenko, Mirko Farina, Artem V. Kruglov, Witold Pedrycz, Yaroslav Plaksin, Giancarlo Succi:
Automatically Prioritizing Tasks in Software Development. IEEE Access 11: 90322-90334 (2023) - [j1229]Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Zbigniew A. Lagodowski, Adam Gregosiewicz, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski, Kamil Jonak:
Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems. IEEE Access 11: 124676-124689 (2023) - [j1228]Phu Pham, Loan T. T. Nguyen, Witold Pedrycz, Bay Vo:
Deep learning, graph-based text representation and classification: a survey, perspectives and challenges. Artif. Intell. Rev. 56(6): 4893-4927 (2023) - [j1227]Jiang Deng, Jianming Zhan, Weiping Ding, Peide Liu, Witold Pedrycz:
A novel prospect-theory-based three-way decision methodology in multi-scale information systems. Artif. Intell. Rev. 56(7): 6591-6625 (2023) - [j1226]Pei Wang, Qinli Zhang, Witold Pedrycz, Zhaowen Li, Ching-Feng Wen:
Uncertainty measurement of partially labeled categorical data with application to semi-supervised attribute reduction. Artif. Intell. Rev. 56(12): 14731-14764 (2023) - [j1225]Jindong Qin, Yingying Liang, Luis Martínez-López, Alessio Ishizaka, Witold Pedrycz:
ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness. Ann. Oper. Res. 325(2): 875-909 (2023) - [j1224]Yanjun Zhou, Huorong Ren, Dan Zhao, Zhi Wu Li, Witold Pedrycz:
A novel multi-level framework for anomaly detection in time series data. Appl. Intell. 53(9): 10009-10026 (2023) - [j1223]Jianming Zhan, Kai Zhang, Peide Liu, Witold Pedrycz:
A novel group decision-making approach in multi-scale environments. Appl. Intell. 53(12): 15127-15146 (2023) - [j1222]Xiuyu Huang, Nan Zhou, Jian Huang, Huaidong Zhang, Witold Pedrycz, Kup-Sze Choi:
Center transfer for supervised domain adaptation. Appl. Intell. 53(15): 18277-18293 (2023) - [j1221]Yueqi Chen, Witold Pedrycz, Jie Yang:
A new boundary-degree-based oversampling method for imbalanced data. Appl. Intell. 53(22): 26518-26541 (2023) - [j1220]Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A three-way classification with fuzzy decision trees. Appl. Soft Comput. 132: 109788 (2023) - [j1219]Yan Li, Xingchen Hu, Witold Pedrycz, Fangjie Yang, Zhong Liu:
Multivariable fuzzy rule-based models and their granular generalization: A visual interpretable framework. Appl. Soft Comput. 134: 109958 (2023) - [j1218]Xueyan Xu, Fusheng Yu, Witold Pedrycz, Xubo Du:
Multi-source fuzzy comprehensive evaluation. Appl. Soft Comput. 135: 110042 (2023) - [j1217]Sarah Qahtan, Hassan A. AlSattar, A. A. Zaidan, Muhammet Deveci, Dragan Pamucar, Dursun Delen, Witold Pedrycz:
Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model. Appl. Soft Comput. 138: 110170 (2023) - [j1216]Xiyang Yang, Fusheng Yu, Witold Pedrycz, Zhiwei Li:
Clustering time series under trend-oriented fuzzy information granulation. Appl. Soft Comput. 141: 110284 (2023) - [j1215]Dan Wang, Xiubin Zhu, Witold Pedrycz, Adam Gacek, Aleksander Sobotnicki, Zhiwu Li:
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models. Appl. Soft Comput. 144: 110482 (2023) - [j1214]Chao Zhang, Jingjing Zhang, Wentao Li, Witold Pedrycz, Deyu Li:
A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management. Appl. Soft Comput. 145: 110539 (2023) - [j1213]Imran Ali, Yongming Li, Witold Pedrycz:
Granular Computing Approach to Evaluate Spatio-Temporal Events in Intuitionistic Fuzzy Sets Data through Formal Concept Analysis. Axioms 12(5): 407 (2023) - [j1212]Yadi Wang, Hongyun Zhang, Duoqian Miao, Witold Pedrycz:
Multi-granularity re-ranking for visible-infrared person re-identification. CAAI Trans. Intell. Technol. 8(3): 770-779 (2023) - [j1211]Jian-Peng Chang, Zhen-Song Chen, Xian-Jia Wang, Luis Martínez-López, Witold Pedrycz, Miroslaw J. Skibniewski:
Requirement-driven sustainable supplier selection: Creating an integrated perspective with stakeholders' interests and the wisdom of expert crowds. Comput. Ind. Eng. 175: 108903 (2023) - [j1210]Yingying Liang, Yanbing Ju, Yan Tu, Witold Pedrycz, Luis Martínez-López:
Minimum cost consensus model with altruistic preference. Comput. Ind. Eng. 179: 109229 (2023) - [j1209]Zhen Shu, Aijuan Song, Guohua Wu, Witold Pedrycz:
Variable Reduction Strategy Integrated Variable Neighborhood Search and NSGA-II Hybrid Algorithm for Emergency Material Scheduling. Complex Syst. Model. Simul. 3(2): 83-101 (2023) - [j1208]Dragan Pamucar, Muhammet Deveci, Ilgin Gökasar, Dursun Delen, Mario Köppen, Witold Pedrycz:
Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach. Decis. Support Syst. 171: 113944 (2023) - [j1207]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu:
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function. Eng. Appl. Artif. Intell. 117(Part): 105580 (2023) - [j1206]Rui Wang, Zhen-Song Chen, Bin Shuai, Luis Martínez, Wen-Tao Kong, Witold Pedrycz:
Revisiting the consistency improvement and consensus reaching processes of intuitionistic multiplicative preference relations. Eng. Appl. Artif. Intell. 120: 105931 (2023) - [j1205]Yi-Jian Wang, Gai-Ge Wang, Fang-Ming Tian, Dun-Wei Gong, Witold Pedrycz:
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II. Eng. Appl. Artif. Intell. 121: 105977 (2023) - [j1204]Quang-Thinh Bui, My-Phuong Ngo, Václav Snásel, Witold Pedrycz, Bay Vo:
Information measures based on similarity under neutrosophic fuzzy environment and multi-criteria decision problems. Eng. Appl. Artif. Intell. 122: 106026 (2023) - [j1203]Fanyong Meng, Zaiwu Gong, Witold Pedrycz, Junfei Chu:
Selfish-dilemma consensus analysis for group decision making in the perspective of cooperative game theory. Eur. J. Oper. Res. 308(1): 290-305 (2023) - [j1202]Sulan Zhang, Jifu Zhang, Jianeng Li, Ping Guo, Witold Pedrycz:
A user-guided reduction concept lattice and its algebraic structure. Expert Syst. Appl. 217: 119537 (2023) - [j1201]Sang-Beom Park, Sung-Kwun Oh, Eun-Hu Kim, Witold Pedrycz:
Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. Expert Syst. Appl. 219: 119655 (2023) - [j1200]Zu-Lin Liu, Fang Liu, Jia-Wei Zhang, Witold Pedrycz:
Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices. Expert Syst. Appl. 224: 119948 (2023) - [j1199]Fei Yan, Hesheng Huang, Witold Pedrycz, Kaoru Hirota:
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms. Expert Syst. Appl. 227: 120282 (2023) - [j1198]Paolo Ciancarini, Artem V. Kruglov, Aygul Malikova, Witold Pedrycz, Giancarlo Succi:
How social interactions can affect Modern Code Review. Frontiers Comput. Sci. 5 (2023) - [j1197]Yingxu Wang, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk:
The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics. Frontiers Comput. Sci. 5 (2023) - [j1196]Zhen Wang, Sung-Kwun Oh, Zheng Wang, Zunwei Fu, Witold Pedrycz, Jin Hee Yoon:
Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies. Fuzzy Sets Syst. 470: 108656 (2023) - [j1195]Sha Qiao, Ping Zhu, Witold Pedrycz:
Approximate bisimulations for fuzzy-transition systems. Fuzzy Sets Syst. 472: 108533 (2023) - [j1194]Muhammad Akram, Ghulam Muhammad, Tofigh Allahviranloo, Witold Pedrycz:
Incommensurate non-homogeneous system of fuzzy linear fractional differential equations using the fuzzy bunch of real functions. Fuzzy Sets Syst. 473: 108725 (2023) - [j1193]Jie Yang, Zhenhao Jiang, Tingting Pan, Yueqi Chen, Witold Pedrycz:
Oversampling method based on GAN for tabular binary classification problems. Intell. Data Anal. 27(5): 1287-1308 (2023) - [j1192]Muhammad Gulistan, Witold Pedrycz:
Cubic q-Fractional Fuzzy Sets and Their Applications. Int. J. Fuzzy Syst. 25(6): 2326-2337 (2023) - [j1191]Si-Hai Feng, Yao-Jiao Xin, Sheng-Hua Xiong, Zhen-Song Chen, Muhammet Deveci, Diego García-Zamora, Witold Pedrycz:
Safety Perception Evaluation of Civil Aviation Based on Weibo Posts in China: An Enhanced Large-Scale Group Decision-Making Framework. Int. J. Fuzzy Syst. 25(8): 3233-3259 (2023) - [j1190]Mingli Song, Yan Li, Witold Pedrycz:
Time series prediction with granular neural networks. Neurocomputing 546: 126328 (2023) - [j1189]Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz:
Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing 557: 126729 (2023) - [j1188]Xiaoyu Ma, Jindong Qin, Luis Martínez-López, Witold Pedrycz:
A linguistic information granulation model based on best-worst method in decision making problems. Inf. Fusion 89: 210-227 (2023) - [j1187]Yuzhu Wu, Yuan Gao, Bowen Zhang, Witold Pedrycz:
Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context. Inf. Fusion 89: 437-451 (2023) - [j1186]Hui Han, Xuyang Jing, Zheng Yan, Witold Pedrycz:
ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy. Inf. Fusion 92: 300-312 (2023) - [j1185]Zhen-Song Chen, Jun-Yang Chen, Yue-Hua Chen, Yi Yang, LeSheng Jin, Enrique Herrera-Viedma, Witold Pedrycz:
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry. Inf. Fusion 97: 101803 (2023) - [j1184]Jindong Qin, Luis Martínez, Witold Pedrycz, Xiaoyu Ma, Yingying Liang:
An overview of granular computing in decision-making: Extensions, applications, and challenges. Inf. Fusion 98: 101833 (2023) - [j1183]Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz:
Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems. Inf. Fusion 99: 101860 (2023) - [j1182]Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz:
FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Inf. Fusion 99: 101880 (2023) - [j1181]Lu Chen, Haiyan Xu, Witold Pedrycz:
Conflict analysis based on a novel three-way decisions graph model for conflict resolution method under hesitant fuzzy environment. Inf. Fusion 100: 101936 (2023) - [j1180]Sheng-Hua Xiong, Yao-Jiao Xin, Zhen-Song Chen, Rosa M. Rodríguez, Si-Hai Feng, Luis Martínez-López, Witold Pedrycz:
Two improved N-two-stage K-means clustering aggregation algorithmic paradigms for HFLTS possibility distributions. Inf. Fusion 100: 101964 (2023) - [j1179]Ling Li, Shengxue Jiao, Yinghua Shen, Bingsheng Liu, Witold Pedrycz, Yuan Chen, Xiaoan Tang:
A two-stage consensus model for large-scale group decision-making considering dynamic social networks. Inf. Fusion 100: 101972 (2023) - [j1178]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Corrigendum to "Weak multi-label learning with missing labels via instance granular discrimination" [Inform. Sci. 594 (2022) 200-216]. Inf. Sci. 619: 1 (2023) - [j1177]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. Inf. Sci. 623: 20-39 (2023) - [j1176]Jiancheng Tu, Zhibin Wu, Witold Pedrycz:
Priority ranking for the best-worst method. Inf. Sci. 635: 42-55 (2023) - [j1175]Yuanfeng Huang, Sheng Du, Jie Hu, Witold Pedrycz, Min Wu:
Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace. J. Adv. Comput. Intell. Intell. Informatics 27(4): 585-593 (2023) - [j1174]Zofia Dlugosz, Michal Rajewski, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
A new deterministic PSO algorithm for real-time systems implemented on low-power devices. J. Comput. Appl. Math. 429: 115225 (2023) - [j1173]Imran Ali, Yongming Li, Witold Pedrycz:
Granular computing approach for the ordinal semantic weighted multiscale values for the attributes in formal concept analysis algorithm. J. Intell. Fuzzy Syst. 45(1): 1567-1586 (2023) - [j1172]Muhammad Gulistan, Witold Pedrycz, Naveed Yaqoob:
Switching perspectives: Investigating the relationships and applications of q-fractional fuzzy sets with other fuzzy set classes in decision making. J. Intell. Fuzzy Syst. 45(6): 11695-11706 (2023) - [j1171]Yejun Xu, Mengqi Li, Witold Pedrycz:
Verifying and managing additive consistency and deriving weights for hesitant fuzzy preference relations. J. Oper. Res. Soc. 74(6): 1462-1474 (2023) - [j1170]Yingying Liang, Yanbing Ju, Jindong Qin, Witold Pedrycz, Peiwu Dong:
Minimum cost consensus model with loss aversion based large-scale group decision making. J. Oper. Res. Soc. 74(7): 1712-1729 (2023) - [j1169]Kecan Cai, Hongyun Zhang, Witold Pedrycz, Duoqian Miao:
SSS-Net: A shadowed-sets-based semi-supervised sample selection network for classification on noise labeled images. Knowl. Based Syst. 276: 110732 (2023) - [j1168]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
Perturbation-based oversampling technique for imbalanced classification problems. Int. J. Mach. Learn. Cybern. 14(3): 773-787 (2023) - [j1167]Weiping Ding, Zhihao Feng, Javier Andreu-Perez, Witold Pedrycz:
Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. Neural Process. Lett. 55(3): 2023-2047 (2023) - [j1166]Fuyuan Xiao, Witold Pedrycz:
Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2054-2070 (2023) - [j1165]Yiming Tang, Zhifu Pan, Xianghui Hu, Witold Pedrycz, Renhao Chen:
Knowledge-Induced Multiple Kernel Fuzzy Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14838-14855 (2023) - [j1164]Hongyun Zhang, Miao Li, Duoqian Miao, Witold Pedrycz, Zhaoguo Wang, Minghui Jiang:
Construction of a feature enhancement network for small object detection. Pattern Recognit. 143: 109801 (2023) - [j1163]Jinbo Li, Witold Pedrycz, Xianmin Wang, Peng Liu:
A Hidden Markov Model-based fuzzy modeling of multivariate time series. Soft Comput. 27(2): 837-854 (2023) - [j1162]Sang-Beom Park, Sung-Kwun Oh, Witold Pedrycz:
Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization. Soft Comput. 27(21): 15443-15462 (2023) - [j1161]Binjie Xu, Kexin Zhao, Qizhang Luo, Guohua Wu, Witold Pedrycz:
A GV-drone arc routing approach for urban traffic patrol by coordinating a ground vehicle and multiple drones. Swarm Evol. Comput. 77: 101246 (2023) - [j1160]Zhenzhen Hu, Wenyin Gong, Witold Pedrycz, Yanchi Li:
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization. Swarm Evol. Comput. 83: 101387 (2023) - [j1159]Guohua Wu, Xiao Mao, Yingguo Chen, Xinwei Wang, Wenkun Liao, Witold Pedrycz:
Coordinated Scheduling of Air and Space Observation Resources via Divide-and-Conquer Framework and Iterative Optimization. IEEE Trans. Aerosp. Electron. Syst. 59(4): 3631-3642 (2023) - [j1158]Peng Han, Yanning Guo, Pengyu Wang, Chuanjiang Li, Witold Pedrycz:
Optimal Orbit Design and Mission Scheduling for Sun-Synchronous Orbit On-Orbit Refueling System. IEEE Trans. Aerosp. Electron. Syst. 59(5): 4968-4983 (2023) - [j1157]Yanjie Song, Junwei Ou, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Qinwen Yang, Lining Xing:
Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9010-9025 (2023) - [j1156]Tianyu Wang, Jun Zhao, Qingshan Xu, Witold Pedrycz, Wei Wang:
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan. IEEE Trans Autom. Sci. Eng. 20(1): 541-552 (2023) - [j1155]Yan Fang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Qi Lang, Jianhua Yang:
CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3162-3175 (2023) - [j1154]Fang Liu, Shu-Cai Zou, Witold Pedrycz:
Measuring Weak Consistency and Weak Transitivity of Pairwise Comparison Matrices. IEEE Trans. Cybern. 53(1): 303-314 (2023) - [j1153]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
A Design of Granular Classifier Based on Granular Data Descriptors. IEEE Trans. Cybern. 53(3): 1790-1801 (2023) - [j1152]Peide Liu, Ying Li, Xiaohong Zhang, Witold Pedrycz:
A Multiattribute Group Decision-Making Method With Probabilistic Linguistic Information Based on an Adaptive Consensus Reaching Model and Evidential Reasoning. IEEE Trans. Cybern. 53(3): 1905-1919 (2023) - [j1151]Wei Lu, Cong Ma, Witold Pedrycz, Jianhua Yang:
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation. IEEE Trans. Cybern. 53(5): 2899-2913 (2023) - [j1150]Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. IEEE Trans. Cybern. 53(6): 3546-3560 (2023) - [j1149]Fanyong Meng, Witold Pedrycz, Jie Tang:
Consensus Reaching Process for Traditional Group Decision Making in View of the Optimal Adjustment Mechanism. IEEE Trans. Cybern. 53(6): 3748-3759 (2023) - [j1148]Yangjingjing Zhang, Xia Chen, Witold Pedrycz, Yucheng Dong:
Consensus Reaching Based on Social Influence Evolution in Group Decision Making. IEEE Trans. Cybern. 53(7): 4134-4147 (2023) - [j1147]Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz:
Amer: A New Attribute-Missing Network Embedding Approach. IEEE Trans. Cybern. 53(7): 4306-4319 (2023) - [j1146]Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Agnieszka Jastrzebska, Xiao Wang:
Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting. IEEE Trans. Cybern. 53(7): 4665-4676 (2023) - [j1145]Yiming Tang, Jiajia Huang, Witold Pedrycz, Bing Li, Fuji Ren:
A Fuzzy Clustering Validity Index Induced by Triple Center Relation. IEEE Trans. Cybern. 53(8): 5024-5036 (2023) - [j1144]Witold Pedrycz:
Computing and Clustering in the Environment of Order-2 Information Granules. IEEE Trans. Cybern. 53(9): 5414-5423 (2023) - [j1143]Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Witold Pedrycz, Unil Yun, Jerry Chun-Wei Lin, Bay Vo:
An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems. IEEE Trans. Cybern. 53(9): 6027-6040 (2023) - [j1142]Zonglin Yang, Shurong Jiang, Fusheng Yu, Witold Pedrycz, Huilin Yang, Yadong Hao:
Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series. IEEE Trans. Cybern. 53(12): 7622-7634 (2023) - [j1141]Taewoong Ryu, Hyeonho Kim, Chanhee Lee, Heonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Witold Pedrycz, Unil Yun:
Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining. IEEE Trans. Cybern. 53(12): 7672-7685 (2023) - [j1140]Aijuan Song, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz:
Automatic Variable Reduction. IEEE Trans. Evol. Comput. 27(4): 1027-1041 (2023) - [j1139]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
Transfer Learning Realized With Nonlinearly Transformed Input Space. IEEE Trans. Emerg. Top. Comput. 11(2): 448-460 (2023) - [j1138]Yiming Tang, Zhifu Pan, Witold Pedrycz, Fuji Ren, Xiaocheng Song:
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 342-356 (2023) - [j1137]Jian-Peng Chang, Zhen-Song Chen, Zhu-Jun Wang, LeSheng Jin, Witold Pedrycz, Luis Martínez, Miroslaw J. Skibniewski:
Assessing Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With the Wisdom of Crowds. IEEE Trans. Fuzzy Syst. 31(2): 434-448 (2023) - [j1136]Pawel Karczmarek, Lukasz Galka, Adam Kiersztyn, Michal Dolecki, Krystyna Kiersztyn, Witold Pedrycz:
Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems. IEEE Trans. Fuzzy Syst. 31(2): 536-546 (2023) - [j1135]Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo:
Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features. IEEE Trans. Fuzzy Syst. 31(3): 707-721 (2023) - [j1134]Xianghui Hu, Yiming Tang, Witold Pedrycz, Kai Di, Jiuchuan Jiang, Yichuan Jiang:
Fuzzy Clustering With Knowledge Extraction and Granulation. IEEE Trans. Fuzzy Syst. 31(4): 1098-1112 (2023) - [j1133]Witold Pedrycz:
Granular Data Compression and Representation. IEEE Trans. Fuzzy Syst. 31(5): 1497-1505 (2023) - [j1132]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation. IEEE Trans. Fuzzy Syst. 31(6): 2056-2064 (2023) - [j1131]Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz, Yuhua Qian, Weiping Ding, Tao Zhan:
Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. IEEE Trans. Fuzzy Syst. 31(7): 2112-2126 (2023) - [j1130]Fanyong Meng, Witold Pedrycz, Zaiwu Gong, Chunqiao Tan:
Consistency and Consensus Analysis for Group Decision Making With Fuzzy Preference Relations Based on Cooperative Game Theory. IEEE Trans. Fuzzy Syst. 31(7): 2140-2152 (2023) - [j1129]Hanyu E, Ye Cui, Witold Pedrycz, Zhiwu Li:
Design of Distributed Rule-Based Models in the Presence of Large Data. IEEE Trans. Fuzzy Syst. 31(7): 2479-2486 (2023) - [j1128]Witold Pedrycz:
A Design of Fuzzy Rule-Based Models With Data Privacy. IEEE Trans. Fuzzy Syst. 31(8): 2885-2890 (2023) - [j1127]Ting Huang, Xiaoan Tang, Qiang Zhang, Zhengyang Cai, Witold Pedrycz:
An Automatic Consensus Reaching Approach With Preference Adjustment Willingness for Group Decision-Making. IEEE Trans. Fuzzy Syst. 31(10): 3331-3345 (2023) - [j1126]Yue Cheng, Weiwei Xing, Witold Pedrycz, Sidong Xian, Weibin Liu:
NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting. IEEE Trans. Fuzzy Syst. 31(10): 3582-3597 (2023) - [j1125]Fang Liu, Witold Pedrycz, Chao Zhang, Jie Yang, Wei Wu:
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31(12): 4235-4248 (2023) - [j1124]Qianli Zhou, Witold Pedrycz, Yingying Liang, Yong Deng:
Information Granule Based Uncertainty Measure of Fuzzy Evidential Distribution. IEEE Trans. Fuzzy Syst. 31(12): 4385-4396 (2023) - [j1123]Luefeng Chen, Kuanlin Wang, Min Li, Min Wu, Witold Pedrycz, Kaoru Hirota:
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human-Robot Interaction. IEEE Trans. Ind. Electron. 70(1): 1016-1024 (2023) - [j1122]Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-Phase Optimization Approach for the Drone Package Pickup and Delivery System. IEEE Trans. Intell. Transp. Syst. 24(9): 9175-9190 (2023) - [j1121]Huan Liu, Guohua Wu, Ling Zhou, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment. IEEE Trans. Intell. Transp. Syst. 24(11): 12062-12077 (2023) - [j1120]Muhammet Deveci, Dragan Pamucar, Ilgin Gökasar, Witold Pedrycz, Xin Wen:
Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model. IEEE Trans. Intell. Transp. Syst. 24(12): 15714-15723 (2023) - [j1119]Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue:
Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5060-5075 (2023) - [j1118]Fuyuan Xiao, Junhao Wen, Witold Pedrycz:
Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. IEEE Trans. Knowl. Data Eng. 35(7): 6941-6956 (2023) - [j1117]Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang:
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023) - [j1116]Dong Li, Shuisheng Zhou, Witold Pedrycz:
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. IEEE Trans. Knowl. Data Eng. 35(12): 12337-12349 (2023) - [j1115]Wentao Li, Haoxiang Zhou, Weihua Xu, Xi-Zhao Wang, Witold Pedrycz:
Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6898-6912 (2023) - [j1114]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9520-9527 (2023) - [j1113]Guangquan Huang, Liming Xiao, Witold Pedrycz, Genbao Zhang, Luis Martínez:
Failure Mode and Effect Analysis Using T-Spherical Fuzzy Maximizing Deviation and Combined Comparison Solution Methods. IEEE Trans. Reliab. 72(2): 552-573 (2023) - [j1112]Huy Minh Huynh, Bay Vo, Zuzana Komínková Oplatková, Witold Pedrycz:
An Approach for Incremental Mining of Clickstream Patterns as a Service Application. IEEE Trans. Serv. Comput. 16(6): 3892-3905 (2023) - [j1111]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 704-715 (2023) - [j1110]Bowen Zhang, Yucheng Dong, Witold Pedrycz:
Consensus Model Driven by Interpretable Rules in Large-Scale Group Decision Making With Optimal Allocation of Information Granularity. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1233-1245 (2023) - [j1109]Yangjingjing Zhang, Xia Chen, Witold Pedrycz, Yucheng Dong:
Minimum Cost Consensus With Altruism Utility Constraints in Social Network Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 5032-5045 (2023) - [j1108]Jindong Qin, Xiaoyu Ma, Witold Pedrycz:
A Granular Computing-Driven Best-Worst Method for Supporting Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5591-5603 (2023) - [j1107]Jiaxing Li, Guohua Wu, Tianjun Liao, Mingfeng Fan, Xiao Mao, Witold Pedrycz:
Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(5): 6654-6668 (2023) - [c283]Pawel Karczmarek, Michal Dolecki, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Anomaly Detection. FUZZ 2023: 1-8 - [c282]Youpeng Yang, Sanghyuk Lee, Hao Lan Zhang, Witold Pedrycz, Kyeong Soo Kim:
A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making. ICMLC 2023: 37-42 - [c281]Haiyang Wei, Luefeng Chen, Jie Hu, Yi Ren, Min Wu, Witold Pedrycz, Kaoru Hirota:
Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model. ICPS 2023: 1-6 - [e45]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13588, Springer 2023, ISBN 978-3-031-23491-0 [contents] - [e44]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13589, Springer 2023, ISBN 978-3-031-23479-8 [contents] - [e43]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14125, Springer 2023, ISBN 978-3-031-42504-2 [contents] - [e42]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14126, Springer 2023, ISBN 978-3-031-42507-3 [contents] - [e41]Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0788-7 [contents] - [e40]Jihe Wang, Yi He, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz:
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. IEEE 2023, ISBN 979-8-3503-8164-1 [contents] - [i36]Waldemar W. Koczkodaj, M. Mazurek, Witold Pedrycz, E. Rogalska, R. Roth, Dominik Strzalka, A. Szymanska, Alicja Wolny-Dominiak, Marc Woodbury-Smith, O. S. Xue, R. Zbyrowski:
Combating harmful Internet use with peer assessment and differential evolution. CoRR abs/2301.10232 (2023) - [i35]Dong Li, Shuisheng Zhou, Witold Pedrycz:
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling. CoRR abs/2302.07060 (2023) - [i34]Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen:
Ensemble Reinforcement Learning: A Survey. CoRR abs/2303.02618 (2023) - [i33]Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, Ponnuthurai N. Suganthan, Yanjie Song:
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching. CoRR abs/2304.04022 (2023) - [i32]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. CoRR abs/2306.07303 (2023) - [i31]Jie Wang, Zheng Yan, Jiahe Lan, Elisa Bertino, Witold Pedrycz:
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support. CoRR abs/2306.13339 (2023) - [i30]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani:
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR abs/2308.13420 (2023) - 2022
- [j1106]Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz:
Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. IEEE Access 10: 7772-7792 (2022) - [j1105]Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Zunwei Fu, Byung-Gun Ryu:
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy. Adv. Eng. Informatics 53: 101695 (2022) - [j1104]Jinbo Li, Witold Pedrycz, Adam Gacek:
Time Series Reconstruction and Classification: A Comprehensive Comparative Study. Appl. Intell. 52(9): 10082-10097 (2022) - [j1103]Tailong Jing, Cong Wang, Witold Pedrycz, ZhiWu Li, Giancarlo Succi, MengChu Zhou:
Granular models as networks of associations of information granules: A development scheme via augmented principle of justifiable granularity. Appl. Soft Comput. 115: 108062 (2022) - [j1102]Farzeen Munir, Shoaib Azam, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz:
Exploring thermal images for object detection in underexposure regions for autonomous driving. Appl. Soft Comput. 121: 108793 (2022) - [j1101]Jiajia Wang, Xueling Ma, Zeshui Xu, Witold Pedrycz, Jianming Zhan:
A three-way decision method with prospect theory to multi-attribute decision-making and its applications under hesitant fuzzy environments. Appl. Soft Comput. 126: 109283 (2022) - [j1100]Qiang Yang, Zhen-Song Chen, Catherine Y. P. Chan, Witold Pedrycz, Luis Martínez-López, Miroslaw J. Skibniewski:
Large-scale group decision-making for prioritizing engineering characteristics in quality function deployment under comparative linguistic environment. Appl. Soft Comput. 127: 109359 (2022) - [j1099]Mohammad Mehedi Hassan, Md. Rafiul Hassan, Victor Hugo C. de Albuquerque, Witold Pedrycz:
Soft Computing for Intelligent Edge Computing. Appl. Soft Comput. 128: 109628 (2022) - [j1098]Zhen-Song Chen, Li-Ping Yang, Rosa M. Rodríguez, Zhengze Zhu, Witold Pedrycz, Miroslaw J. Skibniewski:
BIM-aided large-scale group decision support: Optimization of the retrofit strategy for existing buildings. Appl. Soft Comput. 131: 109790 (2022) - [j1097]Peide Liu, Ayad Hendalianpour, Mohammad Reza Feylizadeh, Witold Pedrycz:
Mathematical modeling of Vehicle Routing Problem in Omni-Channel retailing. Appl. Soft Comput. 131: 109791 (2022) - [j1096]Ge Zhang, Xiubin Zhu, Li Yin, Witold Pedrycz, Zhiwu Li:
Granular data representation under privacy protection: Tradeoff between data utility and privacy via information granularity. Appl. Soft Comput. 131: 109808 (2022) - [j1095]Muhammad Akram, Ghulam Muhammad, Tofigh Allahviranloo, Witold Pedrycz:
Solution of initial-value problem for linear third-order fuzzy differential equations. Comput. Appl. Math. 41(8) (2022) - [j1094]Dixizi Liu, Weiping Ding, Zhijie Sasha Dong, Witold Pedrycz:
Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread. Comput. Ind. Eng. 166: 107970 (2022) - [j1093]Feifei Jin, Yuhang Cai, Witold Pedrycz, Jinpei Liu:
Efficiency evaluation with regret-rejoice cross-efficiency DEA models under the distributed linguistic environment. Comput. Ind. Eng. 169: 108281 (2022) - [j1092]Jie Wang, Zheng Yan, Haiguang Wang, Tieyan Li, Witold Pedrycz:
A Survey on Trust Models in Heterogeneous Networks. IEEE Commun. Surv. Tutorials 24(4): 2127-2162 (2022) - [j1091]Dawei Xie, Fuyuan Xiao, Witold Pedrycz:
Information Quality for Intuitionistic Fuzzy Values with Its Application in Decision Making. Eng. Appl. Artif. Intell. 109: 104568 (2022) - [j1090]Yanjun Zhou, Huorong Ren, Zhiwu Li, Witold Pedrycz:
Anomaly detection based on a granular Markov model. Expert Syst. Appl. 187: 115744 (2022) - [j1089]Yangjingjing Zhang, Xia Chen, Lei Gao, Yucheng Dong, Witold Pedrycz:
Consensus reaching with trust evolution in social network group decision making. Expert Syst. Appl. 188: 116022 (2022) - [j1088]Shengdan Hu, Duoqian Miao, Witold Pedrycz:
Multi granularity based label propagation with active learning for semi-supervised classification. Expert Syst. Appl. 192: 116276 (2022) - [j1087]Sha Fan, Haiming Liang, Yucheng Dong, Witold Pedrycz:
A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression. Expert Syst. Appl. 192: 116392 (2022) - [j1086]Degang Wang, Hao Liu, Witold Pedrycz, Wenyan Song, Hongxing Li:
Design Gaussian information granule based on the principle of justifiable granularity: A multi-dimensional perspective. Expert Syst. Appl. 197: 116763 (2022) - [j1085]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Lin Wang:
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications. Expert Syst. Appl. 202: 117392 (2022) - [j1084]Phu Pham, Witold Pedrycz, Bay Vo:
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam. Expert Syst. Appl. 203: 117514 (2022) - [j1083]Anisha Khaitan, Mukesh Kumar Mehlawat, Pankaj Gupta, Witold Pedrycz:
Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being. Expert Syst. Appl. 205: 117655 (2022) - [j1082]Hanyu E, Ye Cui, Witold Pedrycz, Aminah Robinson Fayek, Zhiwu Li, Jinbo Li:
Design of fuzzy rule-based models with fuzzy relational factorization. Expert Syst. Appl. 206: 117904 (2022) - [j1081]Wei Wei, Vincenzo Piuri, Witold Pedrycz, Syed Hassan Ahmed:
Special Issue on Artificial Intelligence-of-Things (AIoT): Opportunities, Challenges, and Solutions-Part II: Artificial-Intelligence-Powered Internet of Things. Future Gener. Comput. Syst. 137: 186-188 (2022) - [j1080]Wei Wei, Vincenzo Piuri, Witold Pedrycz, Syed Hassan Ahmed:
Special Issue on Artificial Intelligence-of-Things (AIoT): Opportunities, Challenges, and Solutions-Part I: Artificial Intelligence Applications in Various Fields. Future Gener. Comput. Syst. 137: 216-218 (2022) - [j1079]Mojtaba Ghanbari, Tofigh Allahviranloo, Witold Pedrycz:
A straightforward approach for solving dual fuzzy linear systems. Fuzzy Sets Syst. 435: 89-106 (2022) - [j1078]Cheng Yang, Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang:
Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning. Fuzzy Sets Syst. 438: 62-83 (2022) - [j1077]Kaijie Xu, Witold Pedrycz, Zhiwu Li:
Granular computing: An augmented scheme of degranulation through a modified partition matrix. Fuzzy Sets Syst. 440: 131-148 (2022) - [j1076]Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz:
Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations. Fuzzy Sets Syst. 443(Part): 30-49 (2022) - [j1075]Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ2 regularization strategy and augmented random vector functional link network. Fuzzy Sets Syst. 443(Part): 90-114 (2022) - [j1074]Aijuan Song, Guohua Wu, Witold Pedrycz, Ling Wang:
Integrating Variable Reduction Strategy With Evolutionary Algorithms for Solving Nonlinear Equations Systems. IEEE CAA J. Autom. Sinica 9(1): 75-89 (2022) - [j1073]Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz:
An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem. IEEE CAA J. Autom. Sinica 9(7): 1115-1138 (2022) - [j1072]Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz:
An error correction prediction model based on three-way decision and ensemble learning. Int. J. Approx. Reason. 146: 21-46 (2022) - [j1071]Tianna Zhao, Yuanjian Zhang, Duoqian Miao, Witold Pedrycz:
Selective label enhancement for multi-label classification based on three-way decisions. Int. J. Approx. Reason. 150: 172-187 (2022) - [j1070]Rafael Alejandro Espín Andrade, Laura Cruz Reyes, Carlos Eric Llorente-Peralta, Erick González-Caballero, Witold Pedrycz, Susana Ruiz:
Archimedean Compensatory Fuzzy Logic as a Pluralist Contextual Theory Useful for Knowledge Discovery. Int. J. Fuzzy Syst. 24(1): 474-494 (2022) - [j1069]Peide Liu, Mengjiao Shen, Witold Pedrycz:
MAGDM Framework Based on Double Hierarchy Bipolar Hesitant Fuzzy Linguistic Information and Its Application to Optimal Selection of Talents. Int. J. Fuzzy Syst. 24(4): 1757-1779 (2022) - [j1068]Quang-Thinh Bui, My-Phuong Ngo, Václav Snásel, Witold Pedrycz, Bay Vo:
The Sequence of Neutrosophic Soft Sets and a Decision-Making Problem in Medical Diagnosis. Int. J. Fuzzy Syst. 24(4): 2036-2053 (2022) - [j1067]Taewoong Ryu, Unil Yun, Chanhee Lee, Jerry Chun-Wei Lin, Witold Pedrycz:
Occupancy-based utility pattern mining in dynamic environments of intelligent systems. Int. J. Intell. Syst. 37(9): 5477-5507 (2022) - [j1066]Rami Al-Hmouz, Witold Pedrycz, Ahmed Chiheb Ammari, Ahmed Al-Hmouz:
A data variability index: Quantifying complexity of models and analyzing adversarial data. Int. J. Intell. Syst. 37(11): 8412-8435 (2022) - [j1065]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz:
Ensembling perturbation-based oversamplers for imbalanced datasets. Neurocomputing 479: 1-11 (2022) - [j1064]Majed M. Alateeq, Witold Pedrycz:
Development of two-phase logic-oriented fuzzy AND/OR network. Neurocomputing 482: 129-138 (2022) - [j1063]Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz:
Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique. Neurocomputing 482: 139-153 (2022) - [j1062]Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Eun-Hu Kim, Zunwei Fu:
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. Neurocomputing 486: 27-46 (2022) - [j1061]Fei Tang, Witold Pedrycz:
An improved DV-Hop algorithm based on differential simulated annealing evolution. Int. J. Sens. Networks 38(1): 1-11 (2022) - [j1060]Qiang Zhang, Ting Huang, Xiaoan Tang, Kaijie Xu, Witold Pedrycz:
A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations. Inf. Fusion 77: 118-132 (2022) - [j1059]Hui Han, Zheng Yan, Xuyang Jing, Witold Pedrycz:
Applications of sketches in network traffic measurement: A survey. Inf. Fusion 82: 58-85 (2022) - [j1058]Fang Liu, Qi-Rui You, Yuan-Kai Hu, Witold Pedrycz:
Two flexibility degrees-driven consensus model in group decision making with intuitionistic fuzzy preference relations. Inf. Fusion 88: 86-99 (2022) - [j1057]Anhui Tan, Xiaowan Ji, Jiye Liang, Yuzhi Tao, Wei-Zhi Wu, Witold Pedrycz:
Weak multi-label learning with missing labels via instance granular discrimination. Inf. Sci. 594: 200-216 (2022) - [j1056]Guangquan Huang, Liming Xiao, Witold Pedrycz, Dragan Pamucar, Genbao Zhang, Luis Martínez:
Design alternative assessment and selection: A novel Z-cloud rough number-based BWM-MABAC model. Inf. Sci. 603: 149-189 (2022) - [j1055]Liming Xiao, Guangquan Huang, Witold Pedrycz, Dragan Pamucar, Luis Martínez, Genbao Zhang:
A q-rung orthopair fuzzy decision-making model with new score function and best-worst method for manufacturer selection. Inf. Sci. 608: 153-177 (2022) - [j1054]Ting Huang, Xiaoan Tang, Shuangyao Zhao, Qiang Zhang, Witold Pedrycz:
Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with distributed linguistic preference relations. Inf. Sci. 610: 488-507 (2022) - [j1053]Mohammed Atiquzzaman, Jin Li, Witold Pedrycz:
Special issue on new advanced techniques in security of artificial intelligence. J. Ambient Intell. Humaniz. Comput. 13(3): 1255-1257 (2022) - [j1052]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Interactive multilevel programming approaches in neutrosophic environments. J. Ambient Intell. Humaniz. Comput. 13(4): 2143-2159 (2022) - [j1051]Hongyue Diao, Yifan Lu, Ansheng Deng, Li Zou, Xiaofeng Li, Witold Pedrycz:
Convolutional rule inference network based on belief rule-based system using an evidential reasoning approach. Knowl. Based Syst. 237: 107713 (2022) - [j1050]Rami Al-Hmouz, Witold Pedrycz, Medhat Awadallah, Ahmed Al-Hmouz:
Fuzzy relational representation, modeling and interpretation of temporal data. Knowl. Based Syst. 244: 108548 (2022) - [j1049]Tingting Pan, Witold Pedrycz, Jie Yang, Wei Wu, Yulin Zhang:
A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. 249: 108966 (2022) - [j1048]Huangke Chen, Xin Zhang, Ling Wang, Lining Xing, Witold Pedrycz:
Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data. Knowl. Based Syst. 253: 109496 (2022) - [j1047]Yi Yang, Zhen-Song Chen, Rosa M. Rodríguez, Witold Pedrycz, Kwai-Sang Chin:
Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design. Int. J. Mach. Learn. Cybern. 13(3): 609-632 (2022) - [j1046]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Selection of data products: a hybrid AFSA-MABAC approach. Int. J. Mach. Learn. Cybern. 13(4): 1079-1097 (2022) - [j1045]Can Gao, Yong Li, Jie Zhou, Witold Pedrycz, Zhihui Lai, Jun Wan, Jianglin Lu:
Global structure-guided neighborhood preserving embedding for dimensionality reduction. Int. J. Mach. Learn. Cybern. 13(7): 2013-2032 (2022) - [j1044]Lei Yu, Zhi Zeng, Huiqi Wang, Witold Pedrycz:
Fractional-order differentiation based sparse representation for multi-focus image fusion. Multim. Tools Appl. 81(3): 4387-4411 (2022) - [j1043]Changming Zhu, Shuaiping Guo, Dujuan Cao, YiTing Zhou, Duoqian Miao, Witold Pedrycz:
Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region. Neural Comput. Appl. 34(8): 6097-6117 (2022) - [j1042]Nematallah Najafi, Tofigh Allahviranloo, Witold Pedrycz:
Solving Fractional Fuzzy Impulsive Differential Equations with Uncertainty by Novel Computational Technique. New Math. Nat. Comput. 18(2): 251-291 (2022) - [j1041]Fang Liu, Mao-Jie Huang, Caixia Huang, Witold Pedrycz:
Measuring consistency of interval-valued preference relations: comments and comparison. Oper. Res. 22(1): 371-399 (2022) - [j1040]Fang Liu, Mao-Jie Huang, Caixia Huang, Witold Pedrycz:
Correction to: Measuring consistency of interval-valued preference relations: comments and comparison. Oper. Res. 22(2): 1635-1637 (2022) - [j1039]Shengmin Zhao, Sung-Kwun Oh, Jin-Yul Kim, Zunwei Fu, Witold Pedrycz:
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks. Pattern Recognit. 132: 108983 (2022) - [j1038]Marzena Banach, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Air Pollution Monitoring System with Prediction Abilities Based on Smart Autonomous Sensors Equipped with ANNs with Novel Training Scheme. Remote. Sens. 14(2): 413 (2022) - [j1037]Mojtaba Ghanbari, Tofigh Allahviranloo, Rahele Nuraei, Witold Pedrycz:
A new effective approximate multiplication operation on LR fuzzy numbers and its application. Soft Comput. 26(9): 4103-4113 (2022) - [j1036]Mingli Song, Lijie Han, Witold Pedrycz:
A comprehensive study on effect of multi-subgroup background in group decision-making. Soft Comput. 26(24): 13543-13566 (2022) - [j1035]Yu Zhou, Sheng Li, Witold Pedrycz, Guorui Feng:
ACDB-EA: Adaptive convergence-diversity balanced evolutionary algorithm for many-objective optimization. Swarm Evol. Comput. 75: 101145 (2022) - [j1034]Guohua Wu, Qizhang Luo, Yanqi Zhu, Xinjiang Chen, Yanghe Feng, Witold Pedrycz:
Flexible Task Scheduling in Data Relay Satellite Networks. IEEE Trans. Aerosp. Electron. Syst. 58(2): 1055-1068 (2022) - [j1033]Min Wu, Wanjuan Su, Luefeng Chen, Witold Pedrycz, Kaoru Hirota:
Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition. IEEE Trans. Affect. Comput. 13(2): 805-817 (2022) - [j1032]Anhui Tan, Suwei Shi, Weizhi Wu, Jinjin Li, Witold Pedrycz:
Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications. IEEE Trans. Cybern. 52(1): 192-204 (2022) - [j1031]Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang:
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals. IEEE Trans. Cybern. 52(1): 666-676 (2022) - [j1030]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A Two-Stage Approach for Constructing Type-2 Information Granules. IEEE Trans. Cybern. 52(4): 2214-2224 (2022) - [j1029]Leonardo Concepción, Gonzalo Nápoles, Isel Grau, Witold Pedrycz:
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models. IEEE Trans. Cybern. 52(5): 2994-3005 (2022) - [j1028]Xuyang Jing, Zheng Yan, Yinghua Shen, Witold Pedrycz, Ji Yang:
A Group-Based Distance Learning Method for Semisupervised Fuzzy Clustering. IEEE Trans. Cybern. 52(5): 3083-3096 (2022) - [j1027]Peng Nie, Xiubin Zhu, Witold Pedrycz, Zhengfeng Ming, Zhiwu Li:
Optimization of Granulation-Degranulation Mechanism Through Neurocomputing. IEEE Trans. Cybern. 52(6): 4126-4135 (2022) - [j1026]Wenjuan Jia, Xiaodong Liu, Yuangang Wang, Witold Pedrycz, Juxiang Zhou:
Semisupervised Learning via Axiomatic Fuzzy Set Theory and SVM. IEEE Trans. Cybern. 52(6): 4661-4674 (2022) - [j1025]Jie Hu, Min Wu, Luefeng Chen, Kailong Zhou, Pan Zhang, Witold Pedrycz:
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process. IEEE Trans. Cybern. 52(6): 4751-4763 (2022) - [j1024]Yiming Tang, Witold Pedrycz:
Oscillation-Bound Estimation of Perturbations Under Bandler-Kohout Subproduct. IEEE Trans. Cybern. 52(7): 6269-6282 (2022) - [j1023]Xingchen Hu, Yinghua Shen, Witold Pedrycz, Xianmin Wang, Adam Gacek, Bingsheng Liu:
Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering. IEEE Trans. Cybern. 52(7): 6406-6419 (2022) - [j1022]Xingchen Hu, Yinghua Shen, Witold Pedrycz, Yan Li, Guohua Wu:
Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation. IEEE Trans. Cybern. 52(7): 6420-6433 (2022) - [j1021]Bowen Zhang, Witold Pedrycz, Aminah Robinson Fayek, Yucheng Dong:
A Differential Evolution-Based Consistency Improvement Method in AHP With an Optimal Allocation of Information Granularity. IEEE Trans. Cybern. 52(7): 6733-6744 (2022) - [j1020]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models. IEEE Trans. Cybern. 52(7): 7029-7038 (2022) - [j1019]Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou:
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation. IEEE Trans. Cybern. 52(8): 7612-7623 (2022) - [j1018]Hongyue Guo, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Trend-Based Granular Representation of Time Series and its Application in Clustering. IEEE Trans. Cybern. 52(9): 9101-9110 (2022) - [j1017]Sheng Du, Min Wu, Luefeng Chen, Li Jin, Weihua Cao, Witold Pedrycz:
Operating Performance Improvement Based on Prediction and Grade Assessment for Sintering Process. IEEE Trans. Cybern. 52(10): 10529-10541 (2022) - [j1016]Tao Zhan, Shuping Ma, Wentao Li, Witold Pedrycz:
Exponential Stability of Fractional-Order Switched Systems With Mode-Dependent Impulses and Its Application. IEEE Trans. Cybern. 52(11): 11516-11525 (2022) - [j1015]Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang:
A Promotive Particle Swarm Optimizer With Double Hierarchical Structures. IEEE Trans. Cybern. 52(12): 13308-13322 (2022) - [j1014]Xuyang Jing, Hui Han, Zheng Yan, Witold Pedrycz:
SuperSketch: A Multi-Dimensional Reversible Data Structure for Super Host Identification. IEEE Trans. Dependable Secur. Comput. 19(4): 2741-2754 (2022) - [j1013]Xuyang Jing, Zheng Yan, Hui Han, Witold Pedrycz:
ExtendedSketch: Fusing Network Traffic for Super Host Identification With a Memory Efficient Sketch. IEEE Trans. Dependable Secur. Comput. 19(6): 3913-3924 (2022) - [j1012]Guohua Wu, Xupeng Wen, Ling Wang, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques. IEEE Trans. Evol. Comput. 26(4): 646-660 (2022) - [j1011]Yiming Tang, Witold Pedrycz, Fuji Ren:
Granular Symmetric Implicational Method. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 710-723 (2022) - [j1010]Cuiping Cheng, Weiping Ding, Fuyuan Xiao, Witold Pedrycz:
A Majority Rule-Based Measure for Atanassov-Type Intuitionistic Membership Grades in MCDM. IEEE Trans. Fuzzy Syst. 30(1): 121-132 (2022) - [j1009]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov, Oleg H. Huseynov:
Acquisition of Z-Number-Valued Clusters by Using a New Compound Function. IEEE Trans. Fuzzy Syst. 30(1): 279-286 (2022) - [j1008]Ning Wang, Witold Pedrycz, Wen Yao, Xiaoqian Chen, Yong Zhao:
Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model. IEEE Trans. Fuzzy Syst. 30(2): 370-381 (2022) - [j1007]Zhiming Zhang, Witold Pedrycz:
Analysis of Acceptably Multiplicative Consistency and Consensus for Incomplete Interval-Valued Intuitionistic Fuzzy Preference Relations. IEEE Trans. Fuzzy Syst. 30(2): 486-499 (2022) - [j1006]Lidong Wang, Fang Zhao, Hongyue Guo, Xiaodong Liu, Witold Pedrycz:
Top-Down Granulation Modeling Based on the Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 30(3): 701-713 (2022) - [j1005]Hongyue Guo, Haibo Kuang, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering. IEEE Trans. Fuzzy Syst. 30(3): 755-766 (2022) - [j1004]Hanyu E, Ye Cui, Witold Pedrycz, Zhiwu Li:
Fuzzy Relational Matrix Factorization and Its Granular Characterization in Data Description. IEEE Trans. Fuzzy Syst. 30(3): 794-804 (2022) - [j1003]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Logic-Oriented Autoencoders and Granular Logic Autoencoders: Developing Interpretable Data Representation. IEEE Trans. Fuzzy Syst. 30(3): 869-877 (2022) - [j1002]Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Jun Wan, Zhong Ming:
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation. IEEE Trans. Fuzzy Syst. 30(4): 1073-1087 (2022) - [j1001]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz:
Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. IEEE Trans. Fuzzy Syst. 30(4): 1088-1101 (2022) - [j1000]Yuqing Tang, Fusheng Yu, Witold Pedrycz, Xiyang Yang, Jiayin Wang, Shihu Liu:
Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting. IEEE Trans. Fuzzy Syst. 30(6): 1599-1613 (2022) - [j999]Bozena Malysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, Dariusz Mrozek:
High-Efficient Fuzzy Querying With HiveQL for Big Data Warehousing. IEEE Trans. Fuzzy Syst. 30(6): 1823-1837 (2022) - [j998]Sihai Zhao, Yucheng Dong, Luis Martínez, Witold Pedrycz:
Analysis of Ranking Consistency in Linguistic Multiple Attribute Decision Making: The Roles of Granularity and Decision Rules. IEEE Trans. Fuzzy Syst. 30(7): 2266-2278 (2022) - [j997]Fang Liu, Jie Yang, Witold Pedrycz, Wei Wu:
A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. 30(7): 2665-2677 (2022) - [j996]Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz:
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules. IEEE Trans. Fuzzy Syst. 30(8): 2850-2860 (2022) - [j995]Witold Pedrycz, Adam Gacek, Xianmin Wang:
A Hierarchical Approach to Interpretability of TS Rule-Based Models. IEEE Trans. Fuzzy Syst. 30(8): 2861-2869 (2022) - [j994]Fang Li, Yuqing Tang, Fusheng Yu, Witold Pedrycz, Yuming Liu, Wenyi Zeng:
Multilinear-Trend Fuzzy Information Granule-Based Short-Term Forecasting for Time Series. IEEE Trans. Fuzzy Syst. 30(8): 3360-3372 (2022) - [j993]Witold Pedrycz:
Federated FCM: Clustering Under Privacy Requirements. IEEE Trans. Fuzzy Syst. 30(8): 3384-3388 (2022) - [j992]Xiubin Zhu, Dan Wang, Witold Pedrycz, Zhiwu Li:
Horizontal Federated Learning of Takagi-Sugeno Fuzzy Rule-Based Models. IEEE Trans. Fuzzy Syst. 30(9): 3537-3547 (2022) - [j991]Sheng Du, Min Wu, Luefeng Chen, Weihua Cao, Witold Pedrycz:
Information Granulation With Rectangular Information Granules and Its Application in Time-Series Similarity Measurement. IEEE Trans. Fuzzy Syst. 30(10): 4069-4081 (2022) - [j990]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. IEEE Trans. Fuzzy Syst. 30(10): 4224-4238 (2022) - [j989]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zheng Wang, Zunwei Fu, Kisung Seo:
Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 30(10): 4273-4285 (2022) - [j988]Qian Zhao, Yanbing Ju, Luis Martínez-López, Witold Pedrycz, Peiwu Dong, Aihua Wang:
SMAA-Bicapacity-Choquet-Regret Model for Heterogeneous Linguistic MCDM With Interactive Criteria With Bipolar Scale and 2-Tuple Aspirations. IEEE Trans. Fuzzy Syst. 30(10): 4384-4398 (2022) - [j987]Stefania Tomasiello, Witold Pedrycz, Vincenzo Loia:
On Fractional Tikhonov Regularization: Application to the Adaptive Network-Based Fuzzy Inference System for Regression Problems. IEEE Trans. Fuzzy Syst. 30(11): 4717-4727 (2022) - [j986]Yihan Wang, Fusheng Yu, Wladyslaw Homenda, Witold Pedrycz, Yuqing Tang, Agnieszka Jastrzebska, Fang Li:
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting. IEEE Trans. Fuzzy Syst. 30(12): 5166-5180 (2022) - [j985]Zhen-Song Chen, Xuan Zhang, Rosa M. Rodríguez, Witold Pedrycz, Luis Martínez, Miroslaw J. Skibniewski:
Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 30(12): 5496-5510 (2022) - [j984]Witold Pedrycz:
Evaluating Quality of Models via Prediction Information Granules. IEEE Trans. Fuzzy Syst. 30(12): 5551-5556 (2022) - [j983]Ying Feng, Min Wu, Luefeng Chen, Xin Chen, Weihua Cao, Sheng Du, Witold Pedrycz:
Hybrid Intelligent Control Based on Condition Identification for Combustion Process in Heating Furnace of Compact Strip Production. IEEE Trans. Ind. Electron. 69(3): 2790-2800 (2022) - [j982]Gai-Ge Wang, Da Gao, Witold Pedrycz:
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm. IEEE Trans. Ind. Informatics 18(12): 8519-8528 (2022) - [j981]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy. IEEE Trans. Intell. Transp. Syst. 23(4): 3061-3073 (2022) - [j980]YeongMin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, Witold Pedrycz:
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection. IEEE Trans. Intell. Transp. Syst. 23(7): 8949-8958 (2022) - [j979]Farzeen Munir, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz:
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor. IEEE Trans. Intell. Transp. Syst. 23(7): 9318-9334 (2022) - [j978]Younkwan Lee, Jihyo Jeon, YeongMin Ko, Moongu Jeon, Witold Pedrycz:
License Plate Detection via Information Maximization. IEEE Trans. Intell. Transp. Syst. 23(9): 14908-14921 (2022) - [j977]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1385-1399 (2022) - [j976]Jongmin Yu, Younkwan Lee, Kin Choong Yow, Moongu Jeon, Witold Pedrycz:
Abnormal Event Detection and Localization via Adversarial Event Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3572-3586 (2022) - [j975]Yongming He, Lining Xing, Yingwu Chen, Witold Pedrycz, Ling Wang, Guohua Wu:
A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1463-1474 (2022) - [j974]Cong-Cong Li, Yucheng Dong, Witold Pedrycz, Francisco Herrera:
Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1525-1536 (2022) - [j973]Wenbo Qiu, Jianghan Zhu, Guohua Wu, Huangke Chen, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1716-1730 (2022) - [j972]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Construction and Evaluation of Information Granules: From the Perspective of Clustering. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 2024-2037 (2022) - [j971]Yuanjian Zhang, Tianna Zhao, Duoqian Miao, Witold Pedrycz:
Granular Multilabel Batch Active Learning With Pairwise Label Correlation. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3079-3091 (2022) - [j970]Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Witold Pedrycz, Unil Yun, Bay Vo:
ComGCN: Community-Driven Graph Convolutional Network for Link Prediction in Dynamic Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5481-5493 (2022) - [j969]Yuanhang Zheng, Zeshui Xu, Witold Pedrycz:
A Granular Computing-Driving Hesitant Fuzzy Linguistic Method for Supporting Large-Scale Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6048-6060 (2022) - [j968]Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz:
Bottom-Up Mechanism and Improved Contract Net Protocol for Dynamic Task Planning of Heterogeneous Earth Observation Resources. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6183-6196 (2022) - [j967]Cong Ma, Liyong Zhang, Witold Pedrycz, Wei Lu:
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6326-6338 (2022) - [c280]Witold Pedrycz:
A Society-Oriented Environment of Machine Learning. ICCI*CC 2022: 1 - [c279]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong:
Stochastic Sensitivity Regularized Autoencoder for Robust Feature Learning. ICCI*CC 2022: 9-15 - [c278]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, Konstantinos N. Plataniotis, Ling Guan, Petros Spachos:
Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22). ICCI*CC 2022: 258-267 - [c277]Ayomide Bakare, Yegor Bugayenko, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi:
Analyses of Software Data and Their Interpretations: A Framework of Information Granules. ACAI 2022: 20:1-20:6 - [c276]Min Li, Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota:
Dynamic Expression Recognition-Based Quantitative Evaluation of Teaching Validity Using Valence-Arousal Emotion Space. ASCC 2022: 1079-1083 - [c275]Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski:
Quadrature-Inspired Generalized Choquet Integral. FUZZ-IEEE 2022: 1-7 - [c274]Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafal Stegierski:
Enhanced Tree-Based Anomaly Detection. FUZZ-IEEE 2022: 1-7 - [c273]Agnieszka Jastrzebska, Wladyslaw Homenda, Witold Pedrycz:
ARIMA Feature-Based Approach to Time Series Classification. ICCS (1) 2022: 192-199 - [c272]Youpeng Yang, Sanhgyuk Lee, Haolan Zhang, Witold Pedrycz:
Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems. ICMLC 2022: 91-96 - [c271]Paolo Ciancarini, Artem V. Kruglov, Witold Pedrycz, Dilshat Salikhov, Giancarlo Succi:
Issues in the Adoption of the Scaled Agile Framework. ICSE (SEIP) 2022: 175-184 - [c270]Witold Pedrycz:
Federated Learning, Knowledge Transfer, and Knowledge Distillation: Developments with Information Granules. ICSOFT 2022: 5 - [c269]Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Firas Jolha, Artem V. Kruglov, Giancarlo Succi, Witold Pedrycz:
Extracting Corrective Actions from Code Repositories. MSR 2022: 687-688 - [c268]Yegor Bugayenko, Ayomide Bakare, Arina Cheverda, Mirko Farina, Artem V. Kruglov, Yaroslav Plaksin, Giancarlo Succi, Witold Pedrycz:
Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development. MSR 2022: 722-723 - [c267]Francisco Javier Cabrerizo, Juan Carlos González-Quesada, Enrique Herrera-Viedma, Arturas Kaklauskas, Witold Pedrycz:
Managing Inconsistency With an Optimal Distribution of Information Granularity in Fuzzy Preference Relations. SMC 2022: 359-364 - [c266]Francisco Javier Cabrerizo, Juan Carlos González-Quesada, Juan Antonio Morente-Molinera, Ignacio Javier Pérez, Enrique Herrera-Viedma, Witold Pedrycz:
An Improvement of Consensus in Group Decision-Making Through an Optimal Distribution of Information Granularity. SSCI 2022: 119-124 - [e39]Yingxu Wang, Konstantinos N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong:
21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2022, Toronto, ON, Canada, December 8-10, 2022. IEEE 2022, ISBN 978-1-6654-9084-9 [contents] - [d2]Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Rustam Ikramov, Firas Jolha, Zamira Kholmatova, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi:
Metrics for Recommending Corrective and Preventive Actions (CAPAs) in Software Development Projects: a Systematic Literature Review. IEEE DataPort, 2022
- [d1]Yaroslav Plaksin, Ayomide Bakare, Arina Cheverda, Giancarlo Succi, Witold Pedrycz, Mirko Farina, Artem V. Kruglov, Yegor Bugayenko:
Prioritizing Tasks in Software Development: a Systematic Literature Review. IEEE DataPort, 2022 - [i29]Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xue-Song Tang, Bing Wei:
Vision Transformer with Convolutions Architecture Search. CoRR abs/2203.10435 (2022) - [i28]Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System. CoRR abs/2204.01335 (2022) - [i27]Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu:
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR abs/2205.00256 (2022) - [i26]Jianglin Lu, Jie Zhou, Yudong Chen, Witold Pedrycz, Zhihui Lai, Kwok-Wai Hung:
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning. CoRR abs/2206.12592 (2022) - [i25]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i24]Yegor Bugayenko, Imre Delgado, Firas Jolha, Zamira Kholmatova, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi, Xavier Zelada Vasquez:
An experience in automatically extracting CAPAs from code repositories. CoRR abs/2212.09910 (2022) - 2021
- [b10]Witold Pedrycz:
An Introduction to Computing with Fuzzy Sets - Analysis, Design, and Applications. Intelligent Systems Reference Library 190, Springer 2021, ISBN 978-3-030-52799-0, pp. 1-269 - [b9]Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota:
Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems. Studies in Computational Intelligence 926, Springer 2021, ISBN 978-3-030-61576-5, pp. 1-244 - [j966]Tram Nguyen, Loan T. T. Nguyen, Toan Bui, Ho Dac Loc, Witold Pedrycz, Václav Snásel, Bay Vo:
Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks. IEEE Access 9: 32131-32148 (2021) - [j965]Jinbo Li, Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Clustering-based anomaly detection in multivariate time series data. Appl. Soft Comput. 100: 106919 (2021) - [j964]Majed M. Alateeq, Witold Pedrycz:
A comparative analysis of bio-inspired optimization algorithms for automated test pattern generation in sequential circuits. Appl. Soft Comput. 101: 106967 (2021) - [j963]Sui-Zhi Luo, Witold Pedrycz, Lining Xing:
Pricing of satellite image data products: Neutrosophic fuzzy pricing approaches under different game scenarios. Appl. Soft Comput. 102: 107106 (2021) - [j962]Wing W. Y. Ng, Zhengxi Liu, Jianjun Zhang, Witold Pedrycz:
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model. Appl. Soft Comput. 104: 107178 (2021) - [j961]Farnaz Mahan, Maryam Mohammadzad, Seyyed Meysam Rozekhani, Witold Pedrycz:
Chi-MFlexDT: Chi-square-based multi flexible fuzzy decision tree for data stream classification. Appl. Soft Comput. 105: 107301 (2021) - [j960]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwinski:
Fuzzy C-Means-based Isolation Forest. Appl. Soft Comput. 106: 107354 (2021) - [j959]Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Yamin Han:
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks. Appl. Soft Comput. 112: 107766 (2021) - [j958]Dan Wang, Peng Nie, Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Designing of higher order information granules through clustering heterogeneous granular data. Appl. Soft Comput. 112: 107820 (2021) - [j957]Zhen-Song Chen, Lan-Lan Yang, Kwai-Sang Chin, Yi Yang, Witold Pedrycz, Jian-Peng Chang, Luis Martínez, Miroslaw J. Skibniewski:
Sustainable building material selection: An integrated multi-criteria large group decision making framework. Appl. Soft Comput. 113(Part): 107903 (2021) - [j956]Norma P. Rodríguez-Cándido, Rafael Alejandro Espín Andrade, Efrain Solares, Witold Pedrycz:
A Compensatory Fuzzy Logic Model in Technical Trading. Axioms 10(1): 36 (2021) - [j955]Rafael Alejandro Espín Andrade, Witold Pedrycz, Efrain Solares, Laura Cruz Reyes:
Transdisciplinary Scientific Strategies for Soft Computing Development: Towards an Era of Data and Business Analytics. Axioms 10(2): 93 (2021) - [j954]Renxia Wan, Duoqian Miao, Witold Pedrycz:
Constrained tolerance rough set in incomplete information systems. CAAI Trans. Intell. Technol. 6(4): 440-449 (2021) - [j953]Shokrollah Ziari, Tofigh Allahviranloo, Witold Pedrycz:
An improved numerical iterative method for solving nonlinear fuzzy Fredholm integral equations via Picard's method and generalized quadrature rule. Comput. Appl. Math. 40(6) (2021) - [j952]Fanyong Meng, Jie Tang, Witold Pedrycz:
Dual hesitant fuzzy decision making in optimization models. Comput. Ind. Eng. 154: 107103 (2021) - [j951]Luefeng Chen, Wanjuan Su, Min Li, Min Wu, Witold Pedrycz, Kaoru Hirota:
A population randomization-based multi-objective genetic algorithm for gesture adaptation in human-robot interaction. Sci. China Inf. Sci. 64(1) (2021) - [j950]Farnaz Mahan, Seyyed Meysam Rozehkhani, Witold Pedrycz:
A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing. Complex. 2021: 5556378:1-5556378:15 (2021) - [j949]Jingwen Wang, Xuyang Jing, Zheng Yan, Yulong Fu, Witold Pedrycz, Laurence T. Yang:
A Survey on Trust Evaluation Based on Machine Learning. ACM Comput. Surv. 53(5): 107:1-107:36 (2021) - [j948]Sheng Du, Min Wu, Luefeng Chen, Witold Pedrycz:
Prediction model of burn-through point with fuzzy time series for iron ore sintering process. Eng. Appl. Artif. Intell. 102: 104259 (2021) - [j947]Fanyong Meng, Witold Pedrycz, Jie Tang, Hamido Fujita:
Interactive algorithms for normalized probabilistic linguistic preference relations in view of the disjunctive probability based consistency and consensus analysis. Eng. Appl. Artif. Intell. 104: 104363 (2021) - [j946]Jianghong Zhu, Zhen-Song Chen, Bin Shuai, Witold Pedrycz, Kwai-Sang Chin, Luis Martínez:
Failure mode and effect analysis: A three-way decision approach. Eng. Appl. Artif. Intell. 106: 104505 (2021) - [j945]Ming Tang, Huchang Liao, Xiaomei Mi, Benjamin Lev, Witold Pedrycz:
A hierarchical consensus reaching process for group decision making with noncooperative behaviors. Eur. J. Oper. Res. 293(2): 632-642 (2021) - [j944]Trinh D. D. Nguyen, Loan T. T. Nguyen, Lung Vu, Bay Vo, Witold Pedrycz:
Efficient algorithms for mining closed high utility itemsets in dynamic profit databases. Expert Syst. Appl. 186: 115741 (2021) - [j943]Fanyong Meng, Witold Pedrycz, Jie Tang:
Research on the consistency of additive trapezoidal fuzzy preference relations. Expert Syst. Appl. 186: 115837 (2021) - [j942]Kaijie Xu, Witold Pedrycz, Zhiwu Li, Weike Nie:
Optimizing the prototypes with a novel data weighting algorithm for enhancing the classification performance of fuzzy clustering. Fuzzy Sets Syst. 413: 29-41 (2021) - [j941]Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Zunwei Fu:
Fuzzy quasi-linear SVM classifier: Design and analysis. Fuzzy Sets Syst. 413: 42-63 (2021) - [j940]Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue:
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413: 74-98 (2021) - [j939]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou:
Residual-driven Fuzzy C-Means Clustering for Image Segmentation. IEEE CAA J. Autom. Sinica 8(4): 876-889 (2021) - [j938]Dan Wang, Xiubin Zhu, Witold Pedrycz, Zhenhua Yu, Zhiwu Li:
Development of Granular Fuzzy Relation Equations Based on a Subset of Data. IEEE CAA J. Autom. Sinica 8(8): 1416-1427 (2021) - [j937]Hang Wei, Han Huang, Zhifeng Hao, Qin-Qun Chen, Witold Pedrycz, Gang Li:
A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems. Int. J. Bio Inspired Comput. 18(1): 1-12 (2021) - [j936]Minxuan Li, Jindong Qin, Tao Jiang, Witold Pedrycz:
Dynamic Relationship Network Analysis Based on Louvain Algorithm for Large-Scale Group Decision Making. Int. J. Comput. Intell. Syst. 14(1): 1242-1255 (2021) - [j935]Erick González-Caballero, Rafael Alejandro Espín Andrade, Witold Pedrycz, Luis Martínez, Liliana A. Guerrero-Ramos:
Continuous Linguistic Variables and Their Applications to Data Mining and Time Series Prediction. Int. J. Fuzzy Syst. 23(5): 1431-1452 (2021) - [j934]Fei Teng, Peide Liu, Witold Pedrycz:
A novel method based on probabilistic linguistic term sets and its application in ranking products through online ratings. Int. J. Intell. Syst. 36(9): 4632-4658 (2021) - [j933]Jongseong Kim, Unil Yun, Hyunsoo Kim, Taewoong Ryu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Witold Pedrycz:
Average utility driven data analytics on damped windows for intelligent systems with data streams. Int. J. Intell. Syst. 36(10): 5741-5769 (2021) - [j932]Jie Tang, Fanyong Meng, Witold Pedrycz, Hamido Fujita:
A new method for deriving priority from dual hesitant fuzzy preference relations. Int. J. Intell. Syst. 36(11): 6613-6644 (2021) - [j931]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function. Neurocomputing 458: 454-467 (2021) - [j930]Yingying Liang, Yanbing Ju, Jindong Qin, Witold Pedrycz:
Multi-granular linguistic distribution evidential reasoning method for renewable energy project risk assessment. Inf. Fusion 65: 147-164 (2021) - [j929]Zhen-Song Chen, Xiao-Lu Liu, Kwai-Sang Chin, Witold Pedrycz, Kwok-Leung Tsui, Miroslaw J. Skibniewski:
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China. Inf. Fusion 69: 22-39 (2021) - [j928]Jingjing Zhao, Xuyang Jing, Zheng Yan, Witold Pedrycz:
Network traffic classification for data fusion: A survey. Inf. Fusion 72: 22-47 (2021) - [j927]Unil Yun, Heonho Kim, Taewoong Ryu, Yoonji Baek, Hyoju Nam, Judae Lee, Bay Vo, Witold Pedrycz:
Prelarge-Based Utility-Oriented Data Analytics for Transaction Modifications in Internet of Things. IEEE Internet Things J. 8(24): 17333-17344 (2021) - [j926]Witold Pedrycz:
Paul Wang: Pro Memoria. Inf. Sci. 556: iii (2021) - [j925]Degang Wang, Wenyan Song, Witold Pedrycz, Lili Cai:
An integrated neural network with nonlinear output structure for interval-valued data. J. Intell. Fuzzy Syst. 40(1): 673-683 (2021) - [j924]Kun Shang, Wanqiu Kong, Tan Qu, Zejun Hu, Jiaji Wu, Witold Pedrycz:
A generic, cluster-centred lossless compression framework for joint auroral data. J. Vis. Commun. Image Represent. 78: 103185 (2021) - [j923]Peide Liu, Xiaohong Zhang, Witold Pedrycz:
A consensus model for hesitant fuzzy linguistic group decision-making in the framework of Dempster-Shafer evidence theory. Knowl. Based Syst. 212: 106559 (2021) - [j922]Yuchen Zhang, Xiujuan Lei, Yi Pan, Witold Pedrycz:
Prediction of disease-associated circRNAs via circRNA-disease pair graph and weighted nuclear norm minimization. Knowl. Based Syst. 214: 106694 (2021) - [j921]Xingchen Hu, Witold Pedrycz, Keyu Wu, Yinghua Shen:
Information granule-based classifier: A development of granular imputation of missing data. Knowl. Based Syst. 214: 106737 (2021) - [j920]Van Nha Pham, Long The Pham, Witold Pedrycz, Long Thanh Ngo:
Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis. Knowl. Based Syst. 216: 106549 (2021) - [j919]Kaijie Xu, Witold Pedrycz, Zhiwu Li:
Augmentation of the reconstruction performance of Fuzzy C-Means with an optimized fuzzification factor vector. Knowl. Based Syst. 222: 106951 (2021) - [j918]Gai-Ge Wang, Cheng-Long Wei, Yong Wang, Witold Pedrycz:
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance. Knowl. Based Syst. 225: 107133 (2021) - [j917]Hui Wang, Tie Cai, Kangshun Li, Witold Pedrycz:
Constraint handling technique based on Lebesgue measure for constrained multiobjective particle swarm optimization algorithm. Knowl. Based Syst. 227: 107131 (2021) - [j916]Zhen-Song Chen, Xuan Zhang, Witold Pedrycz, Xian-Jia Wang, Kwai-Sang Chin, Luis Martínez-López:
K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm. Knowl. Based Syst. 227: 107230 (2021) - [j915]Yanjun Zhou, Huorong Ren, Zhiwu Li, Witold Pedrycz:
An anomaly detection framework for time series data: An interval-based approach. Knowl. Based Syst. 228: 107153 (2021) - [j914]Dang Nguyen, Wei Luo, Bay Vo, Loan T. T. Nguyen, Witold Pedrycz:
Con2Vec: Learning embedding representations for contrast sets. Knowl. Based Syst. 229: 107382 (2021) - [j913]Dan Wang, Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A randomization mechanism for realizing granular models in distributed system modeling. Knowl. Based Syst. 232: 107376 (2021) - [j912]Ying Yu, Huilin Zhu, Lewei Wang, Witold Pedrycz:
Dense crowd counting based on adaptive scene division. Int. J. Mach. Learn. Cybern. 12(4): 931-942 (2021) - [j911]Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan:
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113: 107748 (2021) - [j910]Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad:
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [j909]Xiaoxiong Zhang, Song Ding, Bingfeng Ge, Boyuan Xia, Witold Pedrycz:
Resource allocation among multiple targets for a defender-attacker game with false targets consideration. Reliab. Eng. Syst. Saf. 211: 107617 (2021) - [j908]Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz:
Agile Earth Observation Satellite Scheduling Over 20 Years: Formulations, Methods, and Future Directions. IEEE Syst. J. 15(3): 3881-3892 (2021) - [j907]Heonho Kim, Unil Yun, Bay Vo, Jerry Chun-Wei Lin, Witold Pedrycz:
Periodicity-Oriented Data Analytics on Time-Series Data for Intelligence System. IEEE Syst. J. 15(4): 4958-4969 (2021) - [j906]Muhammad Akram, Tofigh Allahviranloo, Witold Pedrycz, Muhammad Ali:
Methods for solving LR-bipolar fuzzy linear systems. Soft Comput. 25(1): 85-108 (2021) - [j905]Yuzhu Wu, Yucheng Dong, Jindong Qin, Witold Pedrycz:
Linguistic Distribution and Priority-Based Approximation to Linguistic Preference Relations With Flexible Linguistic Expressions in Decision Making. IEEE Trans. Cybern. 51(2): 649-659 (2021) - [j904]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A Development of Granular Input Space in System Modeling. IEEE Trans. Cybern. 51(3): 1639-1650 (2021) - [j903]Tinghui Ouyang, Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nick J. Pizzi:
Granular Description of Data Structures: A Two-Phase Design. IEEE Trans. Cybern. 51(4): 1902-1912 (2021) - [j902]Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. IEEE Trans. Cybern. 51(4): 2080-2092 (2021) - [j901]Jun Zhao, Tianyu Wang, Witold Pedrycz, Wei Wang:
Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System. IEEE Trans. Cybern. 51(4): 2201-2214 (2021) - [j900]Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces. IEEE Trans. Cybern. 51(5): 2625-2638 (2021) - [j899]Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi:
Rule-Based Modeling With DBSCAN-Based Information Granules. IEEE Trans. Cybern. 51(7): 3653-3663 (2021) - [j898]Ming Tang, Huchang Liao, Enrique Herrera-Viedma, C. L. Philip Chen, Witold Pedrycz:
A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision Making. IEEE Trans. Cybern. 51(10): 4784-4795 (2021) - [j897]Fanyong Meng, Jie Tang, Witold Pedrycz, Qingxian An:
Optimal Interaction Priority Calculation From Hesitant Fuzzy Preference Relations Based on the Monte Carlo Simulation Method for the Acceptable Consistency and Consensus. IEEE Trans. Cybern. 51(12): 5871-5882 (2021) - [j896]Hongyue Guo, Lidong Wang, Xiaodong Liu, Witold Pedrycz:
Information Granulation-Based Fuzzy Clustering of Time Series. IEEE Trans. Cybern. 51(12): 6253-6261 (2021) - [j895]Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue:
Guest Editorial Evolutionary Computation Meets Deep Learning. IEEE Trans. Evol. Comput. 25(5): 810-814 (2021) - [j894]Luefeng Chen, Min Li, Wanjuan Su, Min Wu, Kaoru Hirota, Witold Pedrycz:
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human-Robot Interaction. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 205-213 (2021) - [j893]Quang-Thinh Bui, Bay Vo, Václav Snásel, Witold Pedrycz, Tzung-Pei Hong, Ngoc Thanh Nguyen, Mu-Yen Chen:
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021) - [j892]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 29(3): 569-583 (2021) - [j891]Yang Liu, Jun Zhao, Wei Wang, Witold Pedrycz:
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble. IEEE Trans. Fuzzy Syst. 29(4): 874-888 (2021) - [j890]Xiyang Yang, Fusheng Yu, Witold Pedrycz:
Typical Characteristic-Based Type-2 Fuzzy C-Means Algorithm. IEEE Trans. Fuzzy Syst. 29(5): 1173-1187 (2021) - [j889]Pankaj Gupta, Mukesh Kumar Mehlawat, Anisha Khaitan, Witold Pedrycz:
Sentiment Analysis for Driver Selection in Fuzzy Capacitated Vehicle Routing Problem With Simultaneous Pick-Up and Drop in Shared Transportation. IEEE Trans. Fuzzy Syst. 29(5): 1198-1211 (2021) - [j888]Bowen Zhang, Witold Pedrycz, Aminah Robinson Fayek, Adam Gacek, Yucheng Dong:
Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment. IEEE Trans. Fuzzy Syst. 29(5): 1297-1310 (2021) - [j887]Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin:
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29(6): 1395-1408 (2021) - [j886]Fang Liu, Mao-Jie Huang, Witold Pedrycz, Hui Zhao:
Group Decision Making Based on Flexibility Degree of Fuzzy Numbers Under a Confidence Level. IEEE Trans. Fuzzy Syst. 29(6): 1640-1653 (2021) - [j885]Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method. IEEE Trans. Fuzzy Syst. 29(7): 1786-1801 (2021) - [j884]Cong Wang, Witold Pedrycz, MengChu Zhou, ZhiWu Li:
Sparse Regularization-Based Fuzzy C-Means Clustering Incorporating Morphological Grayscale Reconstruction and Wavelet Frames. IEEE Trans. Fuzzy Syst. 29(7): 1826-1840 (2021) - [j883]Ye Cui, Hanyu E, Witold Pedrycz, Zhiwu Li:
Designing Distributed Fuzzy Rule-Based Models. IEEE Trans. Fuzzy Syst. 29(7): 2047-2053 (2021) - [j882]Cheng Yang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Bo Yang:
Design of Reinforced Fuzzy Radial Basis Function Neural Network Classifier Driven With the Aid of Iterative Learning Techniques and Support Vector-Based Clustering. IEEE Trans. Fuzzy Syst. 29(9): 2506-2520 (2021) - [j881]Peide Liu, Peng Wang, Witold Pedrycz:
Consistency- and Consensus-Based Group Decision-Making Method With Incomplete Probabilistic Linguistic Preference Relations. IEEE Trans. Fuzzy Syst. 29(9): 2565-2579 (2021) - [j880]Bowen Zhang, Yucheng Dong, Xin Feng, Witold Pedrycz:
Maximum Fuzzy Consensus Feedback Mechanism With Minimum Cost and Private Interest in Group Decision-Making. IEEE Trans. Fuzzy Syst. 29(9): 2689-2700 (2021) - [j879]Ali Safari Mamaghani, Witold Pedrycz:
Genetic-Programming-Based Architecture of Fuzzy Modeling: Towards Coping With High-Dimensional Data. IEEE Trans. Fuzzy Syst. 29(9): 2774-2784 (2021) - [j878]Bowen Zhang, Cong-Cong Li, Yucheng Dong, Witold Pedrycz:
A Comparative Study Between Analytic Hierarchy Process and Its Fuzzy Variants: A Perspective Based on Two Linguistic Models. IEEE Trans. Fuzzy Syst. 29(11): 3270-3279 (2021) - [j877]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection. IEEE Trans. Fuzzy Syst. 29(11): 3293-3307 (2021) - [j876]Bowen Zhang, Witold Pedrycz, Xianmin Wang, Adam Gacek:
Design of Interval Type-2 Information Granules Based on the Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 29(11): 3456-3469 (2021) - [j875]Yinghua Shen, Witold Pedrycz, Xuyang Jing, Adam Gacek, Xianmin Wang, Bingsheng Liu:
Identification of Fuzzy Rule-Based Models With Output Space Knowledge Guidance. IEEE Trans. Fuzzy Syst. 29(11): 3504-3518 (2021) - [j874]Xingli Wu, Huchang Liao, Witold Pedrycz:
Probabilistic Linguistic Term Set With Interval Uncertainty. IEEE Trans. Fuzzy Syst. 29(11): 3532-3545 (2021) - [j873]Witold Pedrycz, Adam Gacek, Xianmin Wang:
Aggregation of Order-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 29(11): 3570-3575 (2021) - [j872]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 29(12): 3845-3858 (2021) - [j871]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Shuzhi Sam Ge:
G-Image Segmentation: Similarity-Preserving Fuzzy C-Means With Spatial Information Constraint in Wavelet Space. IEEE Trans. Fuzzy Syst. 29(12): 3887-3898 (2021) - [j870]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao:
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frame. IEEE Trans. Fuzzy Syst. 29(12): 3910-3924 (2021) - [j869]Chunli Jiang, Kuangrong Hao, Witold Pedrycz, Lei Chen, Xin Cai:
Service Optimization of Production Process of Polyester Fiber Based on Immune and Endocrine Regulation Algorithm. IEEE Trans. Ind. Informatics 17(10): 6776-6785 (2021) - [j868]Jun Zhao, Yang Liu, Witold Pedrycz, Wei Wang:
Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network. IEEE Trans. Ind. Informatics 17(12): 7933-7945 (2021) - [j867]Yoonji Baek, Unil Yun, Heonho Kim, Hyoju Nam, Hyunsoo Kim, Jerry Chun-Wei Lin, Bay Vo, Witold Pedrycz:
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams. ACM Trans. Intell. Syst. Technol. 12(2): 16:1-16:27 (2021) - [j866]Huan Liu, Xiamiao Li, Guohua Wu, Mingfeng Fan, Rui Wang, Liang Gao, Witold Pedrycz:
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs. IEEE Trans. Intell. Transp. Syst. 22(9): 5926-5938 (2021) - [j865]Huangke Chen, Xiaomin Zhu, Guipeng Liu, Witold Pedrycz:
Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment. IEEE Trans. Serv. Comput. 14(4): 1167-1178 (2021) - [j864]Edward W. Tunstel, Manuel J. Cobo, Enrique Herrera-Viedma, Imre J. Rudas, Dimitar P. Filev, Ljiljana Trajkovic, C. L. Philip Chen, Witold Pedrycz, Michael H. Smith, Robert Kozma:
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 5-21 (2021) - [j863]Huangke Chen, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan, Lining Xing, Xiaomin Zhu:
An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1507-1522 (2021) - [j862]Guangdong Tian, Nannan Hao, MengChu Zhou, Witold Pedrycz, Chaoyong Zhang, Fangwu Ma, Zhiwu Li:
Fuzzy Grey Choquet Integral for Evaluation of Multicriteria Decision Making Problems With Interactive and Qualitative Indices. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1855-1868 (2021) - [j861]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [j860]Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, Witold Pedrycz:
Two-Echelon Routing Problem for Parcel Delivery by Cooperated Truck and Drone. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7450-7465 (2021) - [j859]Chunli Jiang, Kuangrong Hao, Witold Pedrycz, Lei Chen, Xin Cai:
Optimization control method for industrial Internet of Things based on biological adaptive coevolutionary. Wirel. Networks 27(8): 5145-5160 (2021) - [c265]Witold Pedrycz:
From Data to Information Granules: An Environment of Granular Computing. ICCI*CC 2021: 2 - [c264]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Robert C. Berwick, Paolo Soda, Sam Kwong, Okyay Kaynak, Carlo S. Regazzoni, Christine W. Chan, Marina L. Gavrilova, Guoyin Wang:
IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I). ICCI*CC 2021: 253-263 - [c263]Witold Pedrycz:
Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. COMPLEXIS 2021: 7-8 - [c262]Lijie Han, Mingli Song, Witold Pedrycz:
An Approach to Determine Best Cutting-points in Group Decision Making Problems with Information Granules. FUZZ-IEEE 2021: 1-6 - [c261]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwinski, Jerzy Montusiewicz:
K-Medoids Clustering and Fuzzy Sets for Isolation Forest. FUZZ-IEEE 2021: 1-8 - [c260]Adam Kiersztyn, Krystyna Kiersztyn, Pawel Karczmarek, Marek Kaminski, Ignacy Kitowski, Adam Zbyryt, Rafal Lopucki, Grzegorz Pitucha, Witold Pedrycz:
Classification of Complex Ecological Objects with the Use of Information Granules. FUZZ-IEEE 2021: 1-6 - [c259]Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Rafal Lopucki, Stanislaw M. Grzegórski, Witold Pedrycz:
The Concept of Granular Representation of the Information Potential of Variables. FUZZ-IEEE 2021: 1-6 - [c258]Adam Kiersztyn, Rafal Lopucki, Krystyna Kiersztyn, Pawel Karczmarek, Pawel Powroznik, Dariusz Czerwinski, Witold Pedrycz:
A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. FUZZ-IEEE 2021: 1-6 - [c257]Witold Pedrycz:
Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. IoTBDS 2021: 9-10 - [e38]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12854, Springer 2021, ISBN 978-3-030-87985-3 [contents] - [e37]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 20th International Conference, ICAISC 2021, Virtual Event, June 21-23, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12855, Springer 2021, ISBN 978-3-030-87896-2 [contents] - [i23]Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz:
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems. CoRR abs/2103.05847 (2021) - [i22]Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz:
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem. CoRR abs/2107.07076 (2021) - [i21]Jun Wan, Hui Xi, Jie Zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun:
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network. CoRR abs/2112.12328 (2021) - 2020
- [j858]Ge Zhang, Tianxiang Luo, Witold Pedrycz, Mohammed A. El-Meligy, Mohamed Sharaf, Zhiwu Li:
Outlier Processing in Multimodal Emotion Recognition. IEEE Access 8: 55688-55701 (2020) - [j857]Linqing Wang, Zhongyang Han, Witold Pedrycz, Jun Zhao, Wei Wang:
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry. IEEE Access 8: 63538-63550 (2020) - [j856]Zheng Wang, Cheng Yang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information. IEEE Access 8: 184997-185011 (2020) - [j855]Qian Zhao, Yanbing Ju, Witold Pedrycz:
A Method Based on Bivariate Almost Stochastic Dominance for Multiple Criteria Group Decision Making With Probabilistic Dual Hesitant Fuzzy Information. IEEE Access 8: 203769-203786 (2020) - [j854]Francisco Javier Cabrerizo, Rami Al-Hmouz, Ali Morfeq, María Ángeles Martínez, Witold Pedrycz, Enrique Herrera-Viedma:
Estimating incomplete information in group decision making: A framework of granular computing. Appl. Soft Comput. 86 (2020) - [j853]Yiming Tang, Fuji Ren, Witold Pedrycz:
Fuzzy C-Means clustering through SSIM and patch for image segmentation. Appl. Soft Comput. 87: 105928 (2020) - [j852]Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Witold Pedrycz, Shanlin Yang:
Distribution linguistic preference relations with incomplete symbolic proportions for group decision making. Appl. Soft Comput. 88: 106005 (2020) - [j851]Jindong Qin, Yan Xi, Witold Pedrycz:
Failure mode and effects analysis (FMEA) for risk assessment based on interval type-2 fuzzy evidential reasoning method. Appl. Soft Comput. 89: 106134 (2020) - [j850]Mojtaba Ghanbari, Tofigh Allahviranloo, Witold Pedrycz:
On the rectangular fuzzy complex linear systems. Appl. Soft Comput. 91: 106196 (2020) - [j849]Dejian Yu, Zeshui Xu, Witold Pedrycz:
Bibliometric analysis of rough sets research. Appl. Soft Comput. 94: 106467 (2020) - [j848]Xue Chen, Lijie Peng, Zhibin Wu, Witold Pedrycz:
Controlling the worst consistency index for hesitant fuzzy linguistic preference relations in consensus optimization models. Comput. Ind. Eng. 143: 106423 (2020) - [j847]Zhen-Song Chen, Xuan Zhang, Witold Pedrycz, Xian-Jia Wang, Miroslaw J. Skibniewski:
Bid evaluation in civil construction under uncertainty: A two-stage LSP-ELECTRE III-based approach. Eng. Appl. Artif. Intell. 94: 103835 (2020) - [j846]Bowen Zhang, Yucheng Dong, Hengjie Zhang, Witold Pedrycz:
Consensus mechanism with maximum-return modifications and minimum-cost feedback: A perspective of game theory. Eur. J. Oper. Res. 287(2): 546-559 (2020) - [j845]Ali Safari Mamaghani, Witold Pedrycz:
Structural optimization of fuzzy rule-based models: Towards efficient complexity management. Expert Syst. Appl. 152: 113362 (2020) - [j844]Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz:
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161: 113670 (2020) - [j843]Unil Yun, Hyoju Nam, Jongseong Kim, Heonho Kim, Yoonji Baek, Judae Lee, Eunchul Yoon, Tin C. Truong, Bay Vo, Witold Pedrycz:
Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases. Future Gener. Comput. Syst. 103: 58-78 (2020) - [j842]Fang Liu, Jia-Wei Zhang, Qin Yu, Ya-Nan Peng, Witold Pedrycz:
On weak consistency of interval additive reciprocal matrices. Fuzzy Optim. Decis. Mak. 19(2): 153-175 (2020) - [j841]Jeremy Kerr-Wilson, Witold Pedrycz:
Generating a hierarchical fuzzy rule-based model. Fuzzy Sets Syst. 381: 124-139 (2020) - [j840]Corrado Mencar, Witold Pedrycz:
Granular counting of uncertain data. Fuzzy Sets Syst. 387: 108-126 (2020) - [j839]Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li:
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121: 59-84 (2020) - [j838]Debdas Ghosh, Amit Kumar Debnath, Witold Pedrycz:
A variable and a fixed ordering of intervals and their application in optimization with interval-valued functions. Int. J. Approx. Reason. 121: 187-205 (2020) - [j837]Waldemar W. Koczkodaj, Fang Liu, Victor W. Marek, Jirí Mazurek, Miroslaw Mazurek, Ludmil Mikhailov, Cenap Özel, Witold Pedrycz, Artur Przelaskowski, Andrew Schumann, Ryszard Smarzewski, Dominik Strzalka, Jacek Szybowski, Yusuf Yayli:
On the use of group theory to generalize elements of pairwise comparisons matrix: A cautionary note. Int. J. Approx. Reason. 124: 59-65 (2020) - [j836]Hui Wang, Kangshun Li, Witold Pedrycz:
A routing algorithm based on simulated annealing algorithm for maximising wireless sensor networks lifetime with a sink node. Int. J. Bio Inspired Comput. 15(4): 264-275 (2020) - [j835]Lu Xiao, Zhen-Song Chen, Xuan Zhang, Jian-Peng Chang, Witold Pedrycz, Kwai-Sang Chin:
Bid Evaluation for Major Construction Projects Under Large-Scale Group Decision-Making Environment and Characterized Expertise Levels. Int. J. Comput. Intell. Syst. 13(1): 1227-1242 (2020) - [j834]Abdullah Saeed Balamash, Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq:
Data Description Through Information Granules: A Multiview Perspective. Int. J. Fuzzy Syst. 22(6): 1731-1747 (2020) - [j833]Victor Gerardo Alfaro-Garcia, José M. Merigó, Witold Pedrycz, Rodrigo Gómez Monge:
Citation Analysis of Fuzzy Set Theory Journals: Bibliometric Insights About Authors and Research Areas. Int. J. Fuzzy Syst. 22(8): 2414-2448 (2020) - [j832]Luis Martínez, Witold Pedrycz, Laura Cruz Reyes:
Editorial on Special Issue: "Fuzzy Models for Business Analytics". Int. J. Fuzzy Syst. 22(8): 2690 (2020) - [j831]Peide Liu, Hongxue Xu, Witold Pedrycz:
A normal wiggly hesitant fuzzy linguistic projection-based multiattributive border approximation area comparison method. Int. J. Intell. Syst. 35(3): 432-469 (2020) - [j830]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov, Rafig R. Aliyev:
Eigensolutions of Partially Reliable Decision Preferences Described by Matrices of Z-Numbers. Int. J. Inf. Technol. Decis. Mak. 19(6): 1429-1450 (2020) - [j829]Francesco Colace, Vincenzo Loia, Witold Pedrycz, Stefania Tomasiello:
On a granular functional link network for classification. Neurocomputing 398: 108-116 (2020) - [j828]Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz:
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy. Neurocomputing 417: 471-489 (2020) - [j827]Zheng Yan, Jun Liu, Laurence T. Yang, Witold Pedrycz:
Data fusion in heterogeneous networks. Inf. Fusion 53: 1-3 (2020) - [j826]Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz:
A survey on machine learning for data fusion. Inf. Fusion 57: 115-129 (2020) - [j825]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov, Oleg H. Huseynov:
Clustering method for production of Z-number based if-then rules. Inf. Sci. 520: 155-176 (2020) - [j824]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu:
Combining Classifiers for Foreign Pattern Rejection. J. Artif. Intell. Soft Comput. Res. 10(2): 75-94 (2020) - [j823]Yingjie Wang, Guangquan Xu, Xing Liu, Weixuan Mao, Chengxiang Si, Witold Pedrycz, Wei Wang:
Identifying vulnerabilities of SSL/TLS certificate verification in Android apps with static and dynamic analysis. J. Syst. Softw. 167: 110609 (2020) - [j822]Xiaoan Tang, Zhanglin Peng, Qiang Zhang, Witold Pedrycz, Shanlin Yang:
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations. Knowl. Based Syst. 189 (2020) - [j821]Yuanjian Zhang, Duoqian Miao, Witold Pedrycz, Tianna Zhao, Jianfeng Xu, Ying Yu:
Granular structure-based incremental updating for multi-label classification. Knowl. Based Syst. 189 (2020) - [j820]Lina Li, Witold Pedrycz, Ting Qu, Zhiwu Li:
Fuzzy associative memories with autoencoding mechanisms. Knowl. Based Syst. 191: 105090 (2020) - [j819]Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang:
Rule-based granular classification: A hypersphere information granule-based method. Knowl. Based Syst. 194: 105500 (2020) - [j818]Fang Liu, Jia-Wei Zhang, Wei-Guo Zhang, Witold Pedrycz:
Decision making with a sequential modeling of pairwise comparison process. Knowl. Based Syst. 195: 105642 (2020) - [j817]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Ebru Al:
K-Means-based isolation forest. Knowl. Based Syst. 195: 105659 (2020) - [j816]Manisha Singla, Debdas Ghosh, K. K. Shukla, Witold Pedrycz:
Robust twin support vector regression based on rescaled Hinge loss. Pattern Recognit. 105: 107395 (2020) - [j815]Gyu Ho Choi, Hoon Ko, Witold Pedrycz, Amit Kumar Singh, Sung Bum Pan:
Recognition System Using Fusion Normalization Based on Morphological Features of Post-Exercise ECG for Intelligent Biometrics. Sensors 20(24): 7130 (2020) - [j814]Ferdinando Di Martino, Witold Pedrycz, Salvatore Sessa:
Hierarchical granular hotspots detection. Soft Comput. 24(2): 1357-1376 (2020) - [j813]Xiang Li, Jiandong Zhou, Witold Pedrycz:
Linking granular computing, big data and decision making: a case study in urban path planning. Soft Comput. 24(10): 7435-7450 (2020) - [j812]Jianhua Jin, Mingfei Ye, Witold Pedrycz:
Quintuple Implication Principle on interval-valued intuitionistic fuzzy sets. Soft Comput. 24(16): 12091-12109 (2020) - [j811]Tianyu Liu, Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A design of information granule-based under-sampling method in imbalanced data classification. Soft Comput. 24(22): 17333-17347 (2020) - [j810]Huangke Chen, Jinming Wen, Witold Pedrycz, Guohua Wu:
Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds. IEEE Trans. Big Data 6(1): 131-144 (2020) - [j809]Weiping Ding, Chin-Teng Lin, Witold Pedrycz:
Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce. IEEE Trans. Cybern. 50(2): 425-439 (2020) - [j808]Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50(2): 664-677 (2020) - [j807]Yuzhu Wu, Yucheng Dong, Jindong Qin, Witold Pedrycz:
Flexible Linguistic Expressions and Consensus Reaching With Accurate Constraints in Group Decision-Making. IEEE Trans. Cybern. 50(6): 2488-2501 (2020) - [j806]Huangke Chen, Ye Tian, Witold Pedrycz, Guohua Wu, Rui Wang, Ling Wang:
Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 50(7): 3367-3380 (2020) - [j805]Cong Wang, Witold Pedrycz, Jianbin Yang, Mengchu Zhou, ZhiWu Li:
Wavelet Frame-Based Fuzzy C-Means Clustering for Segmenting Images on Graphs. IEEE Trans. Cybern. 50(9): 3938-3949 (2020) - [j804]Yinghua Shen, Witold Pedrycz, Xianmin Wang:
Approximation of Fuzzy Sets by Interval Type-2 Trapezoidal Fuzzy Sets. IEEE Trans. Cybern. 50(11): 4722-4734 (2020) - [j803]Miao Rong, Dunwei Gong, Witold Pedrycz, Ling Wang:
A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 24(2): 290-304 (2020) - [j802]Xubin Ping, Witold Pedrycz:
Output Feedback Model Predictive Control of Interval Type-2 T-S Fuzzy System With Bounded Disturbance. IEEE Trans. Fuzzy Syst. 28(1): 148-162 (2020) - [j801]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. IEEE Trans. Fuzzy Syst. 28(3): 569-582 (2020) - [j800]Weiping Ding, Witold Pedrycz, Chin-Teng Lin:
Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 803-805 (2020) - [j799]Mukesh Kumar Mehlawat, Pankaj Gupta, Anisha Khaitan, Witold Pedrycz:
A Hybrid Intelligent Approach to Integrated Fuzzy Multiple Depot Capacitated Green Vehicle Routing Problem With Split Delivery and Vehicle Selection. IEEE Trans. Fuzzy Syst. 28(6): 1155-1166 (2020) - [j798]Luefeng Chen, Wanjuan Su, Min Wu, Witold Pedrycz, Kaoru Hirota:
A Fuzzy Deep Neural Network With Sparse Autoencoder for Emotional Intention Understanding in Human-Robot Interaction. IEEE Trans. Fuzzy Syst. 28(7): 1252-1264 (2020) - [j797]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Trans. Fuzzy Syst. 28(7): 1315-1328 (2020) - [j796]Zhiming Zhang, Chong Wu, Witold Pedrycz:
A Novel Group Decision-Making Method for Interval-Valued Intuitionistic Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 28(8): 1799-1814 (2020) - [j795]Xiaodong Liu, Wenjuan Jia, Wanquan Liu, Witold Pedrycz:
AFSSE: An Interpretable Classifier With Axiomatic Fuzzy Set and Semantic Entropy. IEEE Trans. Fuzzy Syst. 28(11): 2825-2840 (2020) - [j794]Zhiming Zhang, Witold Pedrycz:
Iterative Algorithms to Manage the Consistency and Consensus for Group Decision-Making With Hesitant Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 28(11): 2944-2957 (2020) - [j793]Wei Lu, Guoliang Feng, Xiaodong Liu, Witold Pedrycz, Liyong Zhang, Jianhua Yang:
Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems. IEEE Trans. Fuzzy Syst. 28(11): 2958-2971 (2020) - [j792]Yinghua Shen, Witold Pedrycz, Yuan Chen, Xianmin Wang, Adam Gacek:
Hyperplane Division in Fuzzy C-Means: Clustering Big Data. IEEE Trans. Fuzzy Syst. 28(11): 3032-3046 (2020) - [j791]Fei-Yue Wang, Witold Pedrycz, Francisco Herrera, Shun-Feng Su:
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications. IEEE Trans. Fuzzy Syst. 28(12): 3063-3064 (2020) - [j790]Da Gao, Gai-Ge Wang, Witold Pedrycz:
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism. IEEE Trans. Fuzzy Syst. 28(12): 3265-3275 (2020) - [j789]Sheng Du, Min Wu, Luefeng Chen, Kailong Zhou, Jie Hu, Weihua Cao, Witold Pedrycz:
A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(4): 2357-2368 (2020) - [j788]Jie Hu, Min Wu, Pan Zhang, Witold Pedrycz:
Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(12): 7602-7612 (2020) - [j787]Cong Wang, Ziyue Yan, Witold Pedrycz, MengChu Zhou, Zhiwu Li:
A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs. IEEE Trans. Image Process. 29: 5229-5243 (2020) - [j786]Zheli Liu, Bo Li, Yanyu Huang, Jin Li, Yang Xiang, Witold Pedrycz:
NewMCOS: Towards a Practical Multi-Cloud Oblivious Storage Scheme. IEEE Trans. Knowl. Data Eng. 32(4): 714-727 (2020) - [j785]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Development and Analysis of Neural Networks Realized in the Presence of Granular Data. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3606-3619 (2020) - [j784]Jun Zhao, Long Chen, Witold Pedrycz, Wei Wang:
A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4773-4786 (2020) - [j783]Witold Pedrycz:
The benefits and drawbacks of data mining technologies. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c256]Yiming Tang, Jiajia Huang, Fuji Ren, Witold Pedrycz, Guangqing Bao:
Intuitionistic Entropy-Induced Cooperative Symmetric Implicational Inference. ChineseCSCW 2020: 142-154 - [c255]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, Yihan Wang:
Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability. FUZZ-IEEE 2020: 1-8 - [c254]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Fuzzy Set-Based Isolation Forest. FUZZ-IEEE 2020: 1-6 - [c253]Pawel Karczmarek, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn:
The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. FUZZ-IEEE 2020: 1-7 - [c252]Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz:
The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules. FUZZ-IEEE 2020: 1-7 - [c251]Adam Kiersztyn, Pawel Karczmarek, Rafal Lopucki, Witold Pedrycz, Ebru Al, Ignacy Kitowski, Adam Zbyryt:
Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques. FUZZ-IEEE 2020: 1-8 - [c250]Witold Pedrycz, Wladyslaw Homenda, Agnieszka Jastrzebska, Fusheng Yu:
Information Granules and Granular Models: Selected Design Investigations. FUZZ-IEEE 2020: 1-8 - [c249]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
n-ary Isolation Forest: An Experimental Comparative Analysis. ICAISC (2) 2020: 188-198 - [c248]Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent:
Minority Oversampling Using Sensitivity. IJCNN 2020: 1-7 - [c247]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma:
A Granular Consensus Approach With Minimum Adjustment for Multi-criteria Group Decision Making. SMC 2020: 76-81 - [e36]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12415, Springer 2020, ISBN 978-3-030-61400-3 [contents] - [e35]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12416, Springer 2020, ISBN 978-3-030-61533-8 [contents] - [e34]Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos, Autilia Vitiello:
Computational Intelligence for Semantic Knowledge Management - New Perspectives for Designing and Organizing Information Systems. Studies in Computational Intelligence 837, Springer 2020, ISBN 978-3-030-23758-5 [contents] - [e33]Witold Pedrycz, Shyi-Ming Chen:
Development and Analysis of Deep Learning Architectures. Studies in Computational Intelligence 867, Springer 2020, ISBN 978-3-030-31763-8 [contents] - [i20]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao:
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames. CoRR abs/2002.08418 (2020) - [i19]Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz:
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions. CoRR abs/2003.06169 (2020) - [i18]Kaijie Xu, Witold Pedrycz, Zhiwu Li, Mengdao Xing:
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix. CoRR abs/2004.03379 (2020) - [i17]Kaijie Xu, Witold Pedrycz, Zhiwu Li:
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector. CoRR abs/2004.05764 (2020) - [i16]Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou:
Residual-driven Fuzzy C-Means Clustering for Image Segmentation. CoRR abs/2004.07160 (2020) - [i15]Kaijie Xu, Witold Pedrycz, Zhiwu Li, Yinghui Quan, Weike Nie:
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes. CoRR abs/2005.05519 (2020) - [i14]Huan Liu, Xiamiao Li, Mingfeng Fan, Guohua Wu, Witold Pedrycz, Ponnuthurai Nagaratnam Suganthan:
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy. CoRR abs/2006.04103 (2020) - [i13]Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu:
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. CoRR abs/2007.01208 (2020) - [i12]Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz:
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources. CoRR abs/2007.06172 (2020) - [i11]Aijuan Song, Guohua Wu, Witold Pedrycz:
Integrating Variable Reduction Strategy with Evolutionary Algorithm for Solving Nonlinear Equations Systems. CoRR abs/2008.04223 (2020)
2010 – 2019
- 2019
- [j782]Hai Wang, Chao Xu, Zeshui Xu, Xiao-Jun Zeng, Witold Pedrycz:
An Aspiration-Based Approach for Qualitative Decision-Making With Complex Linguistic Expressions. IEEE Access 7: 12529-12546 (2019) - [j781]Dan Wang, Witold Pedrycz, Zhiwu Li:
A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis. IEEE Access 7: 80328-80341 (2019) - [j780]Jong-Soo Bae, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy. Appl. Intell. 49(3): 929-949 (2019) - [j779]Mingli Song, Yukai Jing, Witold Pedrycz:
Granular neural networks: A study of optimizing allocation of information granularity in input space. Appl. Soft Comput. 77: 67-75 (2019) - [j778]Lidong Wang, Yanjun Wang, Witold Pedrycz:
Hesitant 2-tuple linguistic Bonferroni operators and their utilization in group decision making. Appl. Soft Comput. 77: 653-664 (2019) - [j777]Luefeng Chen, Yu Feng, Mohamed A. Maram, Yawu Wang, Min Wu, Kaoru Hirota, Witold Pedrycz:
Multi-SVM based Dempster-Shafer theory for gesture intention understanding using sparse coding feature. Appl. Soft Comput. 85 (2019) - [j776]Rafal Kozik, Marek Pawlicki, Michal Choras, Witold Pedrycz:
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection. Complex. 2019: 5826737:1-5826737:9 (2019) - [j775]Xuyang Jing, Zheng Yan, Witold Pedrycz:
Security Data Collection and Data Analytics in the Internet: A Survey. IEEE Commun. Surv. Tutorials 21(1): 586-618 (2019) - [j774]Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi:
Record linkage based on a three-way decision with the use of granular descriptors. Expert Syst. Appl. 122: 16-26 (2019) - [j773]Xiao Wang, Fusheng Yu, Witold Pedrycz, Lian Yu:
Clustering of interval-valued time series of unequal length based on improved dynamic time warping. Expert Syst. Appl. 125: 293-304 (2019) - [j772]Marcin Mironczuk, Jaroslaw Protasiewicz, Witold Pedrycz:
Empirical evaluation of feature projection algorithms for multi-view text classification. Expert Syst. Appl. 130: 97-112 (2019) - [j771]Ning Yao, Duoqian Miao, Witold Pedrycz, Hongyun Zhang, Zhifei Zhang:
Causality measures and analysis: A rough set framework. Expert Syst. Appl. 136: 187-200 (2019) - [j770]Hongyang Yan, Yu Wang, Chunfu Jia, Jin Li, Yang Xiang, Witold Pedrycz:
IoT-FBAC: Function-based access control scheme using identity-based encryption in IoT. Future Gener. Comput. Syst. 95: 344-353 (2019) - [j769]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j768]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo, Zunwei Fu:
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. Int. J. Approx. Reason. 106: 228-243 (2019) - [j767]Jesus Soto, Oscar Castillo, Patricia Melin, Witold Pedrycz:
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks. Int. J. Fuzzy Syst. 21(5): 1629-1648 (2019) - [j766]Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue:
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34(10): 2655-2675 (2019) - [j765]José Alfredo Ruiz Vargas, Witold Pedrycz, Elder Moreira Hemerly:
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems. Neurocomputing 329: 86-96 (2019) - [j764]Yiming Tang, Xianghui Hu, Witold Pedrycz, Xiaocheng Song:
Possibilistic fuzzy clustering with high-density viewpoint. Neurocomputing 329: 407-423 (2019) - [j763]Yong Su, Huawen Liu, Witold Pedrycz:
The Distributivity Equations of Semi-Uninorms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(2): 329-349 (2019) - [j762]Felipe Diniz Ramalho, Petr Yakovlevitch Ekel, Witold Pedrycz, Joel G. Pereira Júnior, Gustavo Luís Soares:
Multicriteria decision making under conditions of uncertainty in application to multiobjective allocation of resources. Inf. Fusion 49: 249-261 (2019) - [j761]Xuyang Jing, Zheng Yan, Xueqin Liang, Witold Pedrycz:
Network traffic fusion and analysis against DDoS flooding attacks with a novel reversible sketch. Inf. Fusion 51: 100-113 (2019) - [j760]Tong Li, Chongzhi Gao, Liaoliang Jiang, Witold Pedrycz, Jian Shen:
Publicly verifiable privacy-preserving aggregation and its application in IoT. J. Netw. Comput. Appl. 126: 39-44 (2019) - [j759]Xuyang Jing, Jingjing Zhao, Qinghua Zheng, Zheng Yan, Witold Pedrycz:
A reversible sketch-based method for detecting and mitigating amplification attacks. J. Netw. Comput. Appl. 142: 15-24 (2019) - [j758]Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou:
Sequential three-way classifier with justifiable granularity. Knowl. Based Syst. 163: 103-119 (2019) - [j757]Weikai Wang, Kirubakaran Velswamy, Kuangrong Hao, Lei Chen, Witold Pedrycz:
A hierarchical memory network-based approach to uncertain streaming data. Knowl. Based Syst. 165: 1-12 (2019) - [j756]Hanyu E, Ye Cui, Witold Pedrycz, Zhiwu Li:
Enhancements of rule-based models through refinements of Fuzzy C-Means. Knowl. Based Syst. 170: 43-60 (2019) - [j755]Chen Fu, Wei Lu, Witold Pedrycz, Jianhua Yang:
Fuzzy granular classification based on the principle of justifiable granularity. Knowl. Based Syst. 170: 89-101 (2019) - [j754]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Random ensemble of fuzzy rule-based models. Knowl. Based Syst. 181 (2019) - [j753]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Logic-driven autoencoders. Knowl. Based Syst. 183 (2019) - [j752]Yiming Tang, Witold Pedrycz:
On continuity of the entropy-based differently implicational algorithm. Kybernetika 55(2): 307-336 (2019) - [j751]Wenjuan Jia, Yingjie Deng, Chenyang Xin, Xiaodong Liu, Witold Pedrycz:
A classification algorithm with Linear Discriminant Analysis and Axiomatic Fuzzy Sets. Math. Found. Comput. 2(1): 73-81 (2019) - [j750]Wentao Li, Witold Pedrycz, Xiaoping Xue, Weihua Xu, Bingjiao Fan:
Fuzziness and incremental information of disjoint regions in double-quantitative decision-theoretic rough set model. Int. J. Mach. Learn. Cybern. 10(10): 2669-2690 (2019) - [j749]Hongyue Guo, Witold Pedrycz, Xiaodong Liu:
Fuzzy time series forecasting based on axiomatic fuzzy set theory. Neural Comput. Appl. 31(8): 3921-3932 (2019) - [j748]Xiaoan Tang, Qiang Zhang, Zhanglin Peng, Shanlin Yang, Witold Pedrycz:
Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach. Neural Comput. Appl. 31(12): 8769-8786 (2019) - [j747]Hongyun Zhang, Ting Zhang, Witold Pedrycz, Cairong Zhao, Duoqian Miao:
Improved adaptive image retrieval with the use of shadowed sets. Pattern Recognit. 90: 390-403 (2019) - [j746]Rami Al-Hmouz, Witold Pedrycz, Khaled Daqrouq, Ali Morfeq, Ahmed Al-Hmouz:
Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures. Soft Comput. 23(2): 407-418 (2019) - [j745]Xiao Wang, Fusheng Yu, Witold Pedrycz, Jiayin Wang:
Hierarchical clustering of unequal-length time series with area-based shape distance. Soft Comput. 23(15): 6331-6343 (2019) - [j744]Witold Pedrycz, Rami Al-Hmouz, Abdullah Saeed Balamash, Ali Morfeq:
Granular autoencoders: concepts and design. Soft Comput. 23(20): 9869-9880 (2019) - [j743]Ye Cui, Hanyu E, Witold Pedrycz, Zhiwu Li:
Augmentation of rule-based models with a granular quantification of results. Soft Comput. 23(23): 12745-12759 (2019) - [j742]Dan Wang, Witold Pedrycz, Zhiwu Li:
Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach. IEEE Trans. Cybern. 49(2): 417-426 (2019) - [j741]Yinghua Shen, Witold Pedrycz, Xianmin Wang:
Clustering Homogeneous Granular Data: Formation and Evaluation. IEEE Trans. Cybern. 49(4): 1391-1402 (2019) - [j740]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. IEEE Trans. Cybern. 49(6): 2168-2177 (2019) - [j739]Miao Rong, Dunwei Gong, Yong Zhang, Yaochu Jin, Witold Pedrycz:
Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems. IEEE Trans. Cybern. 49(9): 3362-3374 (2019) - [j738]Zhiming Zhang, Witold Pedrycz:
A Consistency and Consensus-Based Goal Programming Method for Group Decision-Making With Interval-Valued Intuitionistic Multiplicative Preference Relations. IEEE Trans. Cybern. 49(10): 3640-3654 (2019) - [j737]Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - [j736]Fang Liu, Witold Pedrycz, Xinwang Liu:
Flexibility Degree of Fuzzy Numbers and its Implication to a Group-Decision-Making Model. IEEE Trans. Cybern. 49(12): 4054-4065 (2019) - [j735]Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE Trans. Fuzzy Syst. 27(2): 348-361 (2019) - [j734]Wei Lu, Dan Shan, Witold Pedrycz, Liyong Zhang, Jianhua Yang, Xiaodong Liu:
Granular Fuzzy Modeling for Multidimensional Numeric Data: A Layered Approach Based on Hyperbox. IEEE Trans. Fuzzy Syst. 27(4): 775-789 (2019) - [j733]Kaijie Xu, Witold Pedrycz, Zhiwu Li, Weike Nie:
Constructing a Virtual Space for Enhancing the Classification Performance of Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 27(9): 1779-1792 (2019) - [j732]Jun Zhao, Long Chen, Witold Pedrycz, Wei Wang:
Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data. IEEE Trans. Ind. Electron. 66(1): 416-428 (2019) - [j731]Kaijie Xu, Witold Pedrycz, Zhiwu Li, Weike Nie:
High-Accuracy Signal Subspace Separation Algorithm Based on Gaussian Kernel Soft Partition. IEEE Trans. Ind. Electron. 66(1): 491-499 (2019) - [j730]Wing W. Y. Ng, Jianjun Zhang, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang:
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification. IEEE Trans. Ind. Informatics 15(3): 1588-1597 (2019) - [j729]Witold Pedrycz:
Editorial. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c246]Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz:
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. CEC 2019: 1634-1641 - [c245]Yajie Hao, Nebiyu Siraj Kedir, Nima Gerami Seresht, Witold Pedrycz, Aminah Robinson Fayek:
Consensus Building in Group Decision-Making for the Risk Assessment of Wind Farm Projects. FUZZ-IEEE 2019: 1-7 - [c244]Yinghua Shen, Witold Pedrycz, Ronei Marcos de Moraes, Xingchen Hu, Xianmin Wang, Adam Gacek:
Clustering of Information Granules in Hotspot Identification. FUZZ-IEEE 2019: 1-6 - [c243]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu:
Domain Selection of Transfer Learning in Fuzzy Prediction Models. FUZZ-IEEE 2019: 1-6 - [c242]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Generalizations of Aggregation Functions for Face Recognition. ICAISC (2) 2019: 182-192 - [c241]Witold Pedrycz:
Keynote Speech 1 From Data to Symbols: A Unified Perspective Through Information Granules. ISKE 2019: 1-14 - [c240]Yiming Tang, Xiaocheng Song, Fuji Ren, Witold Pedrycz:
Entropy-Based Symmetric Implicational Method for R-and (S, N)-Implications. ISKE 2019: 683-688 - [c239]Slawomir Dadas, Jaroslaw Protasiewicz, Witold Pedrycz:
A Deep Learning Model with Data Enrichment for Intent Detection and Slot Filling. SMC 2019: 3012-3018 - [c238]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma:
Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular. SoMeT 2019: 559-572 - [e32]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11508, Springer 2019, ISBN 978-3-030-20911-7 [contents] - [e31]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11509, Springer 2019, ISBN 978-3-030-20914-8 [contents] - [i10]Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy. CoRR abs/1908.08339 (2019) - 2018
- [j728]Huorong Ren, Xixi Li, Zhiwu Li, Witold Pedrycz:
Data Representation Based on Interval-Sets for Anomaly Detection in Time Series. IEEE Access 6: 27473-27479 (2018) - [j727]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware. Appl. Math. Comput. 319: 31-47 (2018) - [j726]Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz:
Mining constrained inter-sequence patterns: a novel approach to cope with item constraints. Appl. Intell. 48(5): 1327-1343 (2018) - [j725]Zhongjie Zhang, Witold Pedrycz, Jian Huang:
Efficient mining product-based fuzzy association rules through central limit theorem. Appl. Soft Comput. 63: 235-248 (2018) - [j724]Honglu Zhou, Mingli Song, Witold Pedrycz:
A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. Appl. Soft Comput. 64: 564-580 (2018) - [j723]Xiaoan Tang, Shanlin Yang, Witold Pedrycz:
Multiple attribute decision-making approach based on dual hesitant fuzzy Frank aggregation operators. Appl. Soft Comput. 68: 525-547 (2018) - [j722]Pankaj Gupta, Mukesh Kumar Mehlawat, Nishtha Grover, Witold Pedrycz:
Multi-attribute group decision making based on extended TOPSIS method under interval-valued intuitionistic fuzzy environment. Appl. Soft Comput. 69: 554-567 (2018) - [j721]Paulo André Sperandio Giacomin, Elder Moreira Hemerly, Witold Pedrycz:
Corrigendum to "A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles" [Appl. Soft Comput. 34 (2015) 26-28]. Appl. Soft Comput. 71: 1216 (2018) - [j720]Tien Thanh Nguyen, Mai Phuong Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Combining heterogeneous classifiers via granular prototypes. Appl. Soft Comput. 73: 795-815 (2018) - [j719]Lingzi Duan, Fusheng Yu, Witold Pedrycz, Xiao Wang, Xiyang Yang:
Time-series clustering based on linear fuzzy information granules. Appl. Soft Comput. 73: 1053-1067 (2018) - [j718]Shuai Liu, Witold Pedrycz, Adam Gacek, Yaping Dai:
Development of information granules of higher type and their applications to granular models of time series. Eng. Appl. Artif. Intell. 71: 60-72 (2018) - [j717]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Witold Pedrycz, Atefeh Taghavi, Enrique Herrera-Viedma:
Granulating linguistic information in decision making under consensus and consistency. Expert Syst. Appl. 99: 83-92 (2018) - [j716]Ferdinando Di Martino, Witold Pedrycz, Salvatore Sessa:
Spatiotemporal extended fuzzy C-means clustering algorithm for hotspots detection and prediction. Fuzzy Sets Syst. 340: 109-126 (2018) - [j715]Witold Pedrycz:
Granular computing for data analytics: a manifesto of human-centric computing. IEEE CAA J. Autom. Sinica 5(6): 1025-1034 (2018) - [j714]Ahmad Muqeem Sheri, Muhammad Aasim Rafique, Moongu Jeon, Witold Pedrycz:
Background subtraction using Gaussian-Bernoulli restricted Boltzmann machine. IET Image Process. 12(9): 1646-1654 (2018) - [j713]Yong Su, Huawen Liu, Witold Pedrycz:
A method to construct fuzzy implications-rotation construction. Int. J. Approx. Reason. 92: 20-31 (2018) - [j712]Yiming Tang, Witold Pedrycz:
On the α(u, v)-symmetric implicational method for R- and (S, N)-implications. Int. J. Approx. Reason. 92: 212-231 (2018) - [j711]Wentao Li, Witold Pedrycz, Xiaoping Xue, Weihua Xu, Bingjiao Fan:
Distance-based double-quantitative rough fuzzy sets with logic operations. Int. J. Approx. Reason. 101: 206-233 (2018) - [j710]Rami Al-Hmouz, Witold Pedrycz, Khaled Daqrouq, Ali Morfeq:
Development of Multimodal Biometric Systems with Three-Way and Fuzzy Set-Based Decision Mechanisms. Int. J. Fuzzy Syst. 20(1): 128-140 (2018) - [j709]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Generalized Choquet Integral for Face Recognition. Int. J. Fuzzy Syst. 20(3): 1047-1055 (2018) - [j708]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
Linguistic Descriptors in Face Recognition. Int. J. Fuzzy Syst. 20(8): 2668-2676 (2018) - [j707]Shounak Roychowdhury, Witold Pedrycz:
Automatic Discovery of Clusters by Removing Noisy Data. Int. J. Intell. Syst. 33(9): 1777-1797 (2018) - [j706]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. Neurocomputing 303: 20-36 (2018) - [j705]Vincenzo Loia, Domenico Parente, Witold Pedrycz, Stefania Tomasiello:
A Granular Functional Network with delay: Some dynamical properties and application to the sign prediction in social networks. Neurocomputing 321: 61-71 (2018) - [j704]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov:
Functions defined on a set of Z-numbers. Inf. Sci. 423: 353-375 (2018) - [j703]Xiujuan Lei, Yuchen Zhang, Shi Cheng, Fang-Xiang Wu, Witold Pedrycz:
Topology potential based seed-growth method to identify protein complexes on dynamic PPI data. Inf. Sci. 425: 140-153 (2018) - [j702]José M. Merigó, Witold Pedrycz, Richard Weber, Catalina de la Sotta:
Fifty years of Information Sciences: A bibliometric overview. Inf. Sci. 432: 245-268 (2018) - [j701]Witold Pedrycz, Maciej Krawczak, Slawomir Zadrozny:
Computational intelligence techniques for decision support, data mining and information searching. Inf. Sci. 460-461: 374-376 (2018) - [j700]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov:
Hukuhara difference of Z-numbers. Inf. Sci. 466: 13-24 (2018) - [j699]Caihui Liu, Witold Pedrycz, Feng Jiang, Meizhi Wang:
Decision-theoretic rough set approaches to multi-covering approximation spaces based on fuzzy probability measure. J. Intell. Fuzzy Syst. 34(3): 1917-1931 (2018) - [j698]Caihui Liu, Witold Pedrycz, Jin Qian, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough set approaches with new strategies. J. Intell. Fuzzy Syst. 35(1): 1179-1191 (2018) - [j697]Degang Wang, Wenyan Song, Witold Pedrycz:
A two stage forecasting approach for interval-valued time series. J. Intell. Fuzzy Syst. 35(2): 2501-2512 (2018) - [j696]Toan Bui, Tram Nguyen, Bay Vo, Thanh Nguyen, Witold Pedrycz, Václav Snásel:
Application of Particle Swarm Optimization to Create Multiple-Choice Tests. J. Inf. Sci. Eng. 34(6): 1405-1423 (2018) - [j695]Gao Liu, Zheng Yan, Witold Pedrycz:
Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey. J. Netw. Comput. Appl. 105: 105-122 (2018) - [j694]Fang Liu, Qin Yu, Witold Pedrycz, Wei-Guo Zhang:
A group decision making model based on an inconsistency index of interval multiplicative reciprocal matrices. Knowl. Based Syst. 145: 67-76 (2018) - [j693]Vincenzo Loia, Francesco Orciuoli, Witold Pedrycz:
Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data. Knowl. Based Syst. 146: 1-11 (2018) - [j692]Yuanhang Zheng, Yue He, Zeshui Xu, Witold Pedrycz:
Assessment for hierarchical medical policy proposals using hesitant fuzzy linguistic analytic network process. Knowl. Based Syst. 161: 254-267 (2018) - [j691]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of double fuzzy clustering-driven context neural networks. Neural Networks 104: 1-14 (2018) - [j690]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Fuzzy classifiers with information granules in feature space and logic-based computing. Pattern Recognit. 80: 156-167 (2018) - [j689]Long Thanh Ngo, Trong Hop Dang, Witold Pedrycz:
Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms. Pattern Recognit. 81: 404-416 (2018) - [j688]Mario G. C. A. Cimino, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini:
Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions. Sensors 18(7): 2117 (2018) - [j687]Sana Ullah, Witold Pedrycz, George K. Karagiannidis, Han-Chieh Chao, Adam Gacek, Christos V. Verikoukis:
Guest Editorial Special Issue on Communications Technologies and Infrastructures for Smart e-Health Systems. IEEE Syst. J. 12(1): 16-19 (2018) - [j686]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Granular description of data in a non-stationary environment. Soft Comput. 22(2): 523-540 (2018) - [j685]Muhammad Aasim Rafique, Witold Pedrycz, Moongu Jeon:
Vehicle license plate detection using region-based convolutional neural networks. Soft Comput. 22(19): 6429-6440 (2018) - [j684]Michael Shoniker, Oleg Oleynikov, Bruce F. Cockburn, Jie Han, Manish Rana, Witold Pedrycz:
Automatic Selection of Process Corner Simulations for Faster Design Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1312-1316 (2018) - [j683]Xuesong Zhang, Yan Zhuang, Wei Wang, Witold Pedrycz:
Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition. IEEE Trans. Cybern. 48(1): 357-370 (2018) - [j682]Shuming Wang, Witold Pedrycz:
Data-Driven Adaptive Probabilistic Robust Optimization Using Information Granulation. IEEE Trans. Cybern. 48(2): 450-462 (2018) - [j681]Zhiming Zhang, Witold Pedrycz:
Intuitionistic Multiplicative Group Analytic Hierarchy Process and Its Use in Multicriteria Group Decision-Making. IEEE Trans. Cybern. 48(7): 1950-1962 (2018) - [j680]Ji Xu, Guoyin Wang, Tianrui Li, Witold Pedrycz:
Local-Density-Based Optimal Granulation and Manifold Information Granule Description. IEEE Trans. Cybern. 48(10): 2795-2808 (2018) - [j679]Fei-Yue Wang, Dimitar P. Filev, Witold Pedrycz, Hongyi Li, Chelsea C. White III:
Guest Editorial From Intelligent Control to Smart Management of Cyber-Physical-Social Systems: A Celebration of 70th Anniversary of Cybernetics by Norbert Wiener. IEEE Trans. Cybern. 48(12): 3278-3279 (2018) - [j678]Armando Segatori, Francesco Marcelloni, Witold Pedrycz:
On Distributed Fuzzy Decision Trees for Big Data. IEEE Trans. Fuzzy Syst. 26(1): 174-192 (2018) - [j677]Qinghua Hu, Lingjun Zhang, Yucan Zhou, Witold Pedrycz:
Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(1): 226-238 (2018) - [j676]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Hierarchical System Modeling. IEEE Trans. Fuzzy Syst. 26(1): 258-269 (2018) - [j675]Yong Su, Huawen Liu, Witold Pedrycz:
On the Discrete Bisymmetry. IEEE Trans. Fuzzy Syst. 26(1): 374-378 (2018) - [j674]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(2): 847-858 (2018) - [j673]Mukesh Kumar Mehlawat, Pankaj Gupta, Witold Pedrycz:
A New Possibilistic Optimization Model for Multiple Criteria Assignment Problem. IEEE Trans. Fuzzy Syst. 26(4): 1775-1788 (2018) - [j672]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Granular Representation of Data: A Design of Families of ϵ-Information Granules. IEEE Trans. Fuzzy Syst. 26(4): 2107-2119 (2018) - [j671]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
A Design of Granular Takagi-Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 26(5): 2499-2509 (2018) - [j670]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 2552-2567 (2018) - [j669]Hongyue Guo, Witold Pedrycz, Xiaodong Liu:
Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series. IEEE Trans. Fuzzy Syst. 26(5): 2807-2817 (2018) - [j668]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 3054-3068 (2018) - [j667]Xiaodong Duan, Yuangang Wang, Witold Pedrycz, Xiaodong Liu, Cunrui Wang, Zedong Li:
AFSNN: A Classification Algorithm Using Axiomatic Fuzzy Sets and Neural Networks. IEEE Trans. Fuzzy Syst. 26(5): 3151-3163 (2018) - [j666]Fang Liu, Yuhao Wu, Witold Pedrycz:
A Modified Consensus Model in Group Decision Making With an Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 26(5): 3182-3187 (2018) - [j665]Zhiming Zhang, Witold Pedrycz:
Goal Programming Approaches to Managing Consistency and Consensus for Intuitionistic Multiplicative Preference Relations in Group Decision Making. IEEE Trans. Fuzzy Syst. 26(6): 3261-3275 (2018) - [j664]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Granular Models and Granular Outliers. IEEE Trans. Fuzzy Syst. 26(6): 3835-3846 (2018) - [j663]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation. IEEE Trans. Ind. Informatics 14(5): 1802-1813 (2018) - [j662]Xuesong Zhang, Yan Zhuang, Wei Wang, Witold Pedrycz:
Online Feature Transformation Learning for Cross-Domain Object Category Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2857-2871 (2018) - [j661]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3452-3462 (2018) - [c237]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features. ICAISC (2) 2018: 137-147 - [c236]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
On Some Aspects of an Aggregation Mechanism in Face Recognition Problems. ICAISC (2) 2018: 148-156 - [c235]Adam Kiersztyn, Pawel Karczmarek, Khrystyna Zhadkovska, Witold Pedrycz:
Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. ICAISC (2) 2018: 570-578 - [c234]Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz:
Multi-level Aggregation in Face Recognition. ICAISC (1) 2018: 645-656 - [c233]Huangke Chen, Xiaomin Zhu, Witold Pedrycz, Shu Yin, Guohua Wu, Hui Yan:
PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization. ICDCS 2018: 223-232 - [c232]Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma:
Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach. SMC 2018: 1471-1476 - [e30]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10841, Springer 2018, ISBN 978-3-319-91252-3 [contents] - [e29]Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada:
Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10842, Springer 2018, ISBN 978-3-319-91261-5 [contents] - [i9]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. CoRR abs/1808.08517 (2018) - 2017
- [j660]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons. Appl. Intell. 46(2): 487-508 (2017) - [j659]Xingchen Hu, Witold Pedrycz, Guohua Wu, Xianmin Wang:
Data reconstruction with information granules: An augmented method of fuzzy clustering. Appl. Soft Comput. 55: 523-532 (2017) - [j658]Xiang Li, Witold Pedrycz, Dan A. Ralescu:
Optimization under uncertainty: A perspective of soft computing. Appl. Soft Comput. 56: 541-542 (2017) - [j657]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Unsupervised Mode of Rejection of Foreign Patterns. Appl. Soft Comput. 57: 615-626 (2017) - [j656]T. M. Machado-Coelho, Alexei Manso Corrêa Machado, Luc Jaulin, Petr Ekel, Witold Pedrycz, Gustavo Luís Soares:
An interval space reducing method for constrained problems with particle swarm optimization. Appl. Soft Comput. 59: 405-417 (2017) - [j655]Jinbo Li, Witold Pedrycz, Iqbal Jamal:
Multivariate time series anomaly detection: A framework of Hidden Markov Models. Appl. Soft Comput. 60: 229-240 (2017) - [j654]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Haifeng Li:
Using variable reduction strategy to accelerate evolutionary optimization. Appl. Soft Comput. 61: 283-293 (2017) - [j653]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Fuzzy clustering with nonlinearly transformed data. Appl. Soft Comput. 61: 364-376 (2017) - [j652]Lina Li, Witold Pedrycz, Zhiwu Li:
Development of associative memories with transformed data. Appl. Soft Comput. 61: 1141-1152 (2017) - [j651]Guohua Wu, Huilin Wang, Witold Pedrycz, Haifeng Li, Ling Wang:
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy. Comput. Ind. Eng. 113: 576-588 (2017) - [j650]Orion Fausto Reyes-Galaviz, Witold Pedrycz, Ziyue He, Nick J. Pizzi:
A supervised gradient-based learning algorithm for optimized entity resolution. Data Knowl. Eng. 112: 106-129 (2017) - [j649]Zhongjie Zhang, Witold Pedrycz, Jian Huang:
Efficient frequent itemsets mining through sampling and information granulation. Eng. Appl. Artif. Intell. 65: 119-136 (2017) - [j648]Jindong Qin, Xinwang Liu, Witold Pedrycz:
An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258(2): 626-638 (2017) - [j647]Bay Vo, Tuong Le, Witold Pedrycz, Giang Nguyen, Sung Wook Baik:
Mining erasable itemsets with subset and superset itemset constraints. Expert Syst. Appl. 69: 50-61 (2017) - [j646]Xiaoyang Zhou, Na Yu, Yan Tu, Witold Pedrycz, Benjamin Lev:
Bi-level plant selection and production allocation model under type-2 fuzzy demand. Expert Syst. Appl. 86: 87-98 (2017) - [j645]Xingchen Hu, Witold Pedrycz, Oscar Castillo, Patricia Melin:
Fuzzy rule-based models with interactive rules and their granular generalization. Fuzzy Sets Syst. 307: 1-28 (2017) - [j644]Jeremy Kerr-Wilson, Witold Pedrycz:
Some new qualitative insights into quality of fuzzy rule-based models. Fuzzy Sets Syst. 307: 29-49 (2017) - [j643]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Enhancement of the classification and reconstruction performance of fuzzy C-means with refinements of prototypes. Fuzzy Sets Syst. 318: 80-99 (2017) - [j642]Fang Liu, Witold Pedrycz, Zhong-Xing Wang, Wei-Guo Zhang:
An axiomatic approach to approximation-consistency of triangular fuzzy reciprocal preference relations. Fuzzy Sets Syst. 322: 1-18 (2017) - [j641]Xiyang Yang, Fusheng Yu, Witold Pedrycz:
Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system. Int. J. Approx. Reason. 81: 1-27 (2017) - [j640]Abdullah Saeed Balamash, Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq:
Perspective-oriented data analysis through the development of information granules of order 2. Int. J. Approx. Reason. 85: 97-106 (2017) - [j639]Yinghua Shen, Witold Pedrycz:
Collaborative fuzzy clustering algorithm: Some refinements. Int. J. Approx. Reason. 86: 41-61 (2017) - [j638]Yong Su, Huawen Liu, Witold Pedrycz:
Coimplications derived from pseudo-uninorms on a complete lattice. Int. J. Approx. Reason. 90: 107-119 (2017) - [j637]Liyong Zhang, Wanxie Zhong, Chongquan Zhong, Wei Lu, Xiaodong Liu, Witold Pedrycz:
Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data. Int. J. Approx. Reason. 90: 389-410 (2017) - [j636]Tianhao Li, Liyong Zhang, Wei Lu, Hui Hou, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong:
Interval kernel Fuzzy C-Means clustering of incomplete data. Neurocomputing 237: 316-331 (2017) - [j635]Zheng Yan, Xuyang Jing, Witold Pedrycz:
Fusing and mining opinions for reputation generation. Inf. Fusion 36: 172-184 (2017) - [j634]Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
Grouping granular structures in human granulation intelligence. Inf. Sci. 382-383: 150-169 (2017) - [j633]Dejian Yu, Zeshui Xu, Witold Pedrycz, Wan-Ru Wang:
Information sciences 1968-2016: A retrospective analysis with text mining and bibliometric. Inf. Sci. 418: 619-634 (2017) - [j632]Witold Pedrycz:
Computational Intelligence: Retrospection and Future. J. Adv. Comput. Intell. Intell. Informatics 21(1): 9-12 (2017) - [j631]Lai Duc Anh, Bay Vo, Witold Pedrycz:
Information granulation construction and representation strategies for classification in imbalanced data based on granular computing. J. Inf. Telecommun. 1(2): 113-126 (2017) - [j630]Caihui Liu, Witold Pedrycz, Meizhi Wang:
Covering-based multigranulation decision-theoretic rough sets. J. Intell. Fuzzy Syst. 32(1): 749-765 (2017) - [j629]Witold Pedrycz:
Granular Bidirectional and Multidirectional Associative Memories: Towards a Collaborative Buildup of Granular Mappings. J. Inf. Process. Syst. 13(3): 435-447 (2017) - [j628]Wojciech Froelich, Witold Pedrycz:
Fuzzy cognitive maps in the modeling of granular time series. Knowl. Based Syst. 115: 110-122 (2017) - [j627]Hai Wang, Zeshui Xu, Witold Pedrycz:
An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities. Knowl. Based Syst. 118: 15-30 (2017) - [j626]Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Reinforced rule-based fuzzy models: Design and analysis. Knowl. Based Syst. 119: 44-58 (2017) - [j625]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
From fuzzy rule-based models to their granular generalizations. Knowl. Based Syst. 124: 133-143 (2017) - [j624]Hung Quoc Truong, Long Thanh Ngo, Witold Pedrycz:
Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem. Knowl. Based Syst. 133: 53-65 (2017) - [j623]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Development of granular models through the design of a granular output spaces. Knowl. Based Syst. 134: 159-171 (2017) - [j622]Huorong Ren, Mingming Liu, Zhiwu Li, Witold Pedrycz:
A Piecewise Aggregate pattern representation approach for anomaly detection in time series. Knowl. Based Syst. 135: 29-39 (2017) - [j621]Mingli Song, Wenqian Shang, Lidong Wang, Witold Pedrycz:
Analysis of spatiotemporal data relationship using information granules. Int. J. Mach. Learn. Cybern. 8(5): 1439-1446 (2017) - [j620]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
An application of chain code-based local descriptor and its extension to face recognition. Pattern Recognit. 65: 26-34 (2017) - [j619]Feng Li, Duoqian Miao, Witold Pedrycz:
Granular multi-label feature selection based on mutual information. Pattern Recognit. 67: 410-423 (2017) - [j618]Shuai Liu, Witold Pedrycz, Adam Gacek, Yaping Dai:
A two-phase method of forming a granular representation of signals. Signal Process. 141: 1-15 (2017) - [j617]Witold Pedrycz, Rami Al-Hmouz, Abdullah Saeed Balamash, Ali Morfeq:
Modeling with linguistic entities and linguistic descriptors: a perspective of granular computing. Soft Comput. 21(7): 1833-1845 (2017) - [j616]Abdullah Saeed Balamash, Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq:
Granular classifiers and their design through refinement of information granules. Soft Comput. 21(10): 2745-2759 (2017) - [j615]Jindong Qin, Xinwang Liu, Witold Pedrycz:
A multiple attribute interval type-2 fuzzy group decision making and its application to supplier selection with extended LINMAP method. Soft Comput. 21(12): 3207-3226 (2017) - [j614]Pawel Karczmarek, Witold Pedrycz, Adam Kiersztyn, Przemyslaw Rutka:
A study in facial features saliency in face recognition: an analytic hierarchy process approach. Soft Comput. 21(24): 7503-7517 (2017) - [j613]Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu:
Data-Based Predictive Optimization for Byproduct Gas System in Steel Industry. IEEE Trans Autom. Sci. Eng. 14(4): 1761-1770 (2017) - [j612]Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz:
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47(11): 3814-3826 (2017) - [j611]Fang Liu, Witold Pedrycz, Wei-Guo Zhang:
Limited Rationality and Its Quantification Through the Interval Number Judgments With Permutations. IEEE Trans. Cybern. 47(12): 4025-4037 (2017) - [j610]Xiubin Zhu, Witold Pedrycz, ZhiWu Li:
Granular Data Description: Designing Ellipsoidal Information Granules. IEEE Trans. Cybern. 47(12): 4475-4484 (2017) - [j609]Zhiming Zhang, Witold Pedrycz:
Models of Mathematical Programming for Intuitionistic Multiplicative Preference Relations. IEEE Trans. Fuzzy Syst. 25(4): 945-957 (2017) - [j608]Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Granular Encoders and Decoders: A Study in Processing Information Granules. IEEE Trans. Fuzzy Syst. 25(5): 1115-1126 (2017) - [j607]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design. IEEE Trans. Fuzzy Syst. 25(5): 1329-1341 (2017) - [j606]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Granular Fuzzy Rule-Based Models: A Study in a Comprehensive Evaluation and Construction of Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(5): 1342-1355 (2017) - [j605]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov, Serife Zihni Eyupoglu:
Approximate Reasoning on a Basis of Z-Number-Valued If-Then Rules. IEEE Trans. Fuzzy Syst. 25(6): 1589-1600 (2017) - [j604]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(6): 1795-1807 (2017) - [j603]Decui Liang, Witold Pedrycz, Dun Liu:
Determining Three-Way Decisions With Decision-Theoretic Rough Sets Using a Relative Value Approach. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 1785-1799 (2017) - [c231]Jun Zhao, Chunyang Sheng, Wei Wang, Witold Pedrycz, Quanli Liu:
Data-based predictive optimization for by product gas system in steel industry. CASE 2017: 87 - [c230]Yuanzhuo Qu, Jie Han, Bruce F. Cockburn, Witold Pedrycz, Yue Zhang, Weisheng Zhao:
A true random number generator based on parallel STT-MTJs. DATE 2017: 606-609 - [c229]Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz:
Fuzzy rule-based transfer learning for label space adaptation. FUZZ-IEEE 2017: 1-6 - [c228]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
An Evaluation of Fuzzy Measure for Face Recognition. ICAISC (1) 2017: 668-676 - [c227]Mario G. C. A. Cimino, Federico Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini:
Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. ICPRAM 2017: 731-737 - [c226]Jaehoon Cha, Sanghyuk Lee, Kyeong Soo Kim, Witold Pedrycz:
On the design of similarity measures based on fuzzy integral. IFSA-SCIS 2017: 1-6 - [c225]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Hardware implementation of the particle swarm optimization algorithm. MIXDES 2017: 521-526 - [c224]Francisco Javier Cabrerizo, Ignacio Javier Pérez, Witold Pedrycz, Enrique Herrera-Viedma:
An improvement of multiplicative consistency of reciprocal preference relations: A framework of granular computing. SMC 2017: 1262-1267 - [c223]Majed M. Alateeq, Witold Pedrycz:
Analysis of optimization algorithms in automated test pattern generation for sequential circuits. SMC 2017: 1834-1839 - [e28]Shadi Ibrahim, Kim-Kwang Raymond Choo, Zheng Yan, Witold Pedrycz:
Algorithms and Architectures for Parallel Processing - 17th International Conference, ICA3PP 2017, Helsinki, Finland, August 21-23, 2017, Proceedings. Lecture Notes in Computer Science 10393, Springer 2017, ISBN 978-3-319-65481-2 [contents] - [e27]Alfredo Petrosino, Vincenzo Loia, Witold Pedrycz:
Fuzzy Logic and Soft Computing Applications - 11th International Workshop, WILF 2016, Naples, Italy, December 19-21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10147, 2017, ISBN 978-3-319-52961-5 [contents] - [i8]Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz:
Aggregation of Classifiers: A Justifiable Information Granularity Approach. CoRR abs/1703.05411 (2017) - [i7]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. CoRR abs/1705.06460 (2017) - [i6]Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR abs/1711.01843 (2017) - 2016
- [j602]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Multicriteria decision making inspired by human cognitive processes. Appl. Math. Comput. 290: 392-411 (2016) - [j601]Ham Nguyen, Bay Vo, Minh Nguyen, Witold Pedrycz:
An efficient algorithm for mining frequent weighted itemsets using interval word segments. Appl. Intell. 45(4): 1008-1020 (2016) - [j600]Jindong Qin, Xinwang Liu, Witold Pedrycz:
Frank aggregation operators and their application to hesitant fuzzy multiple attribute decision making. Appl. Soft Comput. 41: 428-452 (2016) - [j599]Wei Lu, Liyong Zhang, Witold Pedrycz, Jianhua Yang, Xiaodong Liu:
The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series. Appl. Soft Comput. 42: 38-52 (2016) - [j598]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space. Appl. Soft Comput. 42: 410-422 (2016) - [j597]Chunfu Zhong, Witold Pedrycz, Dan Wang, Lina Li, Zhiwu Li:
Granular data imputation: A framework of Granular Computing. Appl. Soft Comput. 46: 307-316 (2016) - [j596]Xiaoyang Zhou, Witold Pedrycz, Yunxin Kuang, Zhe Zhang:
Type-2 fuzzy multi-objective DEA model: An application to sustainable supplier evaluation. Appl. Soft Comput. 46: 424-440 (2016) - [j595]Xiao Wang, Fusheng Yu, Witold Pedrycz:
An area-based shape distance measure of time series. Appl. Soft Comput. 48: 650-659 (2016) - [j594]Yao Ouyang, Witold Pedrycz:
A new model for intuitionistic fuzzy multi-attributes decision making. Eur. J. Oper. Res. 249(2): 677-682 (2016) - [j593]Jeremy Kerr-Wilson, Witold Pedrycz:
Design of rule-based models through information granulation. Expert Syst. Appl. 46: 274-285 (2016) - [j592]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo:
Development of autofocusing algorithm based on fuzzy transforms. Fuzzy Sets Syst. 288: 129-144 (2016) - [j591]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem. Fuzzy Sets Syst. 305: 131-148 (2016) - [j590]Jindong Qin, Xinwang Liu, Witold Pedrycz:
Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment. Int. J. Comput. Intell. Syst. 9(1): 133-152 (2016) - [j589]Rafael Alejandro Espín Andrade, Erick González, Witold Pedrycz, Eduardo Fernández:
An Interpretable Logical Theory: The case of Compensatory Fuzzy Logic. Int. J. Comput. Intell. Syst. 9(4): 612-626 (2016) - [j588]Witold Pedrycz:
From Fuzzy Models to Granular Fuzzy Models. Int. J. Comput. Intell. Syst. 9(sup1): 35-42 (2016) - [j587]Jun Hu, Witold Pedrycz, Guoyin Wang:
A roughness measure of fuzzy sets from the perspective of distance. Int. J. Gen. Syst. 45(3): 352-367 (2016) - [j586]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. Int. J. Gen. Syst. 45(4): 434-454 (2016) - [j585]Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong, Lu Wang:
A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value. Int. J. Intell. Syst. 31(4): 297-313 (2016) - [j584]Chunfu Zhong, Witold Pedrycz, Zhiwu Li, Dan Wang, Lina Li:
Fuzzy associative memories: A design through fuzzy clustering. Neurocomputing 173: 1154-1162 (2016) - [j583]Rafik A. Aliev, Witold Pedrycz, Vladik Kreinovich, Oleg H. Huseynov:
The general theory of decisions. Inf. Sci. 327: 125-148 (2016) - [j582]Xiujuan Lei, Fei Wang, Fang-Xiang Wu, Aidong Zhang, Witold Pedrycz:
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks. Inf. Sci. 329: 303-316 (2016) - [j581]Petr Ekel, Illya Kokshenev, Roberta Oliveira Parreiras, Witold Pedrycz, Joel Pereira Jr.:
Multiobjective and multiattribute decision making in a fuzzy environment and their power engineering applications. Inf. Sci. 361-362: 100-119 (2016) - [j580]Yanni Wang, Yaping Dai, Yu-Wang Chen, Witold Pedrycz:
An Interpretability-Accuracy Tradeoff in Learning Parameters of Intuitionistic Fuzzy Rule-Based Systems. J. Adv. Comput. Intell. Intell. Informatics 20(5): 773-787 (2016) - [j579]Caihui Liu, Witold Pedrycz:
Covering-based multi-granulation fuzzy rough sets. J. Intell. Fuzzy Syst. 30(1): 303-318 (2016) - [j578]Fenghuan Li, Dequan Zheng, Tiejun Zhao, Witold Pedrycz:
A novel approach for anomaly detection in data streams: Fuzzy-statistical detection mode. J. Intell. Fuzzy Syst. 30(5): 2611-2622 (2016) - [j577]Rami Al-Hmouz, Witold Pedrycz:
Models of time series with time granulation. Knowl. Inf. Syst. 48(3): 561-580 (2016) - [j576]Jun Hu, Witold Pedrycz, Guoyin Wang, Kai Wang:
Rough sets in distributed decision information systems. Knowl. Based Syst. 94: 13-22 (2016) - [j575]Liyong Zhang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Chongquan Zhong:
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values. Knowl. Based Syst. 99: 51-70 (2016) - [j574]Xin Wang, Witold Pedrycz, Adam Gacek, Xiaodong Liu:
From numeric data to information granules: A design through clustering and the principle of justifiable granularity. Knowl. Based Syst. 101: 100-113 (2016) - [j573]Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Witold Pedrycz:
Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. 103: 73-88 (2016) - [j572]Jaroslaw Protasiewicz, Witold Pedrycz, Marek Kozlowski, Slawomir Dadas, Tomasz Stanislawek, Agata Kopacz, Malgorzata Galezewska:
A recommender system of reviewers and experts in reviewing problems. Knowl. Based Syst. 106: 164-178 (2016) - [j571]Van Nha Pham, Long Thanh Ngo, Witold Pedrycz:
Interval-valued fuzzy set approach to fuzzy co-clustering for data classification. Knowl. Based Syst. 107: 1-13 (2016) - [j570]Feng Feng, Junghoo Cho, Witold Pedrycz, Hamido Fujita, Tutut Herawan:
Soft set based association rule mining. Knowl. Based Syst. 111: 268-282 (2016) - [j569]Ladislav Zjavka, Witold Pedrycz:
Constructing general partial differential equations using polynomial and neural networks. Neural Networks 73: 58-69 (2016) - [j568]Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz:
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection. Pattern Recognit. 53: 87-101 (2016) - [j567]Wing W. Y. Ng, Guangjun Zeng, Jianjun Zhang, Daniel S. Yeung, Witold Pedrycz:
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [j566]Dan Wang, Witold Pedrycz, Zhiwu Li:
Design of granular interval-valued information granules with the use of the principle of justifiable granularity and their applications to system modeling of higher type. Soft Comput. 20(6): 2119-2134 (2016) - [j565]Jeonghwan Gwak, Moongu Jeon, Witold Pedrycz:
Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies. Soft Comput. 20(6): 2149-2176 (2016) - [j564]Ayaz Isazadeh, Farnaz Mahan, Witold Pedrycz:
MFlexDT: multi flexible fuzzy decision tree for data stream classification. Soft Comput. 20(9): 3719-3733 (2016) - [j563]Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho:
Guest Editorial Special Issue on Granular/Symbolic Data Processing. IEEE Trans. Cybern. 46(2): 342-343 (2016) - [j562]Jun Zhao, Zhongyang Han, Witold Pedrycz, Wei Wang:
Granular Model of Long-Term Prediction for Energy System in Steel Industry. IEEE Trans. Cybern. 46(2): 388-400 (2016) - [j561]Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang:
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. 46(12): 3073-3085 (2016) - [j560]Witold Pedrycz, Agnieszka Jastrzebska, Wladyslaw Homenda:
Design of Fuzzy Cognitive Maps for Modeling Time Series. IEEE Trans. Fuzzy Syst. 24(1): 120-130 (2016) - [j559]Witold Pedrycz, Xianmin Wang:
Designing Fuzzy Sets With the Use of the Parametric Principle of Justifiable Granularity. IEEE Trans. Fuzzy Syst. 24(2): 489-496 (2016) - [j558]Lorenzo Livi, Hooman Tahayori, Antonello Rizzi, Alireza Sadeghian, Witold Pedrycz:
Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices. IEEE Trans. Fuzzy Syst. 24(5): 1022-1034 (2016) - [j557]Jiandong Zhou, Xiang Li, Witold Pedrycz:
Mean-Semi-Entropy Models of Fuzzy Portfolio Selection. IEEE Trans. Fuzzy Syst. 24(6): 1627-1636 (2016) - [j556]Tomasz Talaska, Marta Kolasa, Rafal Dlugosz, Witold Pedrycz:
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. IEEE Trans. Neural Networks Learn. Syst. 27(3): 661-673 (2016) - [j555]Guohua Wu, Witold Pedrycz, Haifeng Li, Manhao Ma, Jin Liu:
Coordinated Planning of Heterogeneous Earth Observation Resources. IEEE Trans. Syst. Man Cybern. Syst. 46(1): 109-125 (2016) - [c222]Trong Hop Dang, Long Thanh Ngo, Witold Pedrycz:
Multiple Kernel Based Collaborative Fuzzy Clustering Algorithm. ACIIDS (1) 2016: 585-594 - [c221]Xiubin Zhu, Witold Pedrycz, ZhiWu Li:
Granular description of data: Building information granules with the aid of the principle of justifiable granularity. FUZZ-IEEE 2016: 969-976 - [c220]Adam Kiersztyn, Pawel Karczmarek, Michal Dolecki, Witold Pedrycz:
Linguistic descriptors and fuzzy sets in face recognition realized by humans. FUZZ-IEEE 2016: 1120-1126 - [c219]Myungwon Lee, Keun-Chang Kwak, Witold Pedrycz:
An expansion of local Granular Models in the design of incremental model. FUZZ-IEEE 2016: 1664-1670 - [c218]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki:
Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans. ICAISC (1) 2016: 584-596 - [c217]Vladimir Ivanov, Manuel Mazzara, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
Assessing the process of an Eastern European software SME using systemic analysis, GQM, and reliability growth models: a case study. ICSE (Companion Volume) 2016: 251-259 - [c216]Luigi Benedicenti, Franco Raffaele Cotugno, Paolo Ciancarini, Angelo Messina, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
Applying scrum to the army: a case study. ICSE (Companion Volume) 2016: 725-727 - [c215]Ladislav Zjavka, Václav Snásel, Varun Kumar Ojha, Witold Pedrycz:
A substitution of the general partial differential equation with extended polynomial networks. IJCNN 2016: 4819-4826 - [c214]Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Face recognition by humans performed on basis of linguistic descriptors and neural networks. IJCNN 2016: 5135-5140 - [c213]Witold Pedrycz, Joana Iljazi, Alberto Sillitti, Giancarlo Succi:
Prediction of the Successful Completion of Requirements in Software Development - An Initial Study. KES-AMSTA 2016: 261-269 - [c212]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. SCIS&ISIS 2016: 769-773 - [c211]Hung Quoc Truong, Long Thanh Ngo, Witold Pedrycz:
Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing. SMC 2016: 2576-2581 - [c210]Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz:
Utility functions as aggregation functions in face recognition. SSCI 2016: 1-6 - [c209]Witold Pedrycz:
Algorithmic Developments of Information Granules of Higher Type and Higher Order and Their Applications. WILF 2016: 27-41 - [p25]Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
The Role of Computational Intelligence in Quantitative Software Engineering. Computational Intelligence and Quantitative Software Engineering 2016: 1-12 - [p24]Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
Computational Intelligence: An Introduction. Computational Intelligence and Quantitative Software Engineering 2016: 13-31 - [e26]Witold Pedrycz, Giancarlo Succi, Alberto Sillitti:
Computational Intelligence and Quantitative Software Engineering. Studies in Computational Intelligence 617, Springer 2016, ISBN 978-3-319-25962-8 [contents] - [e25]Witold Pedrycz, Shyi-Ming Chen:
Sentiment Analysis and Ontology Engineering - An Environment of Computational Intelligence. Studies in Computational Intelligence 639, Springer 2016, ISBN 978-3-319-30317-8 [contents] - 2015
- [j554]Adam Gacek, Witold Pedrycz:
Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med. 54(2012) 125-134]. Artif. Intell. Medicine 64(3): 227 (2015) - [j553]Xiaodong Liu, Xianchang Wang, Witold Pedrycz:
Fuzzy clustering with semantic interpretation. Appl. Soft Comput. 26: 21-30 (2015) - [j552]Witold Pedrycz:
Editorial. Appl. Soft Comput. 27: 489 (2015) - [j551]Decui Liang, Witold Pedrycz, Dun Liu, Pei Hu:
Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making. Appl. Soft Comput. 29: 256-269 (2015) - [j550]Paulo André Sperandio Giacomin, Elder Moreira Hemerly, Witold Pedrycz:
A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles. Appl. Soft Comput. 34: 26-38 (2015) - [j549]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Rammohan Mallipeddi:
A variable reduction strategy for evolutionary algorithms handling equality constraints. Appl. Soft Comput. 37: 774-786 (2015) - [j548]Ahmad Muqeem Sheri, Aasim Rafique, Witold Pedrycz, Moongu Jeon:
Contrastive divergence for memristor-based restricted Boltzmann machine. Eng. Appl. Artif. Intell. 37: 336-342 (2015) - [j547]Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Fuzzy clustering of time series data using dynamic time warping distance. Eng. Appl. Artif. Intell. 39: 235-244 (2015) - [j546]Weina Wang, Witold Pedrycz, Xiaodong Liu:
Time series long-term forecasting model based on information granules and fuzzy clustering. Eng. Appl. Artif. Intell. 41: 17-24 (2015) - [j545]Barbara Russo, Giancarlo Succi, Witold Pedrycz:
Mining system logs to learn error predictors: a case study of a telemetry system. Empir. Softw. Eng. 20(4): 879-927 (2015) - [j544]Jiqiang Chen, Witold Pedrycz, Minghu Ha, Litao Ma:
Set-valued samples based support vector regression and its applications. Expert Syst. Appl. 42(5): 2502-2509 (2015) - [j543]Abdullah Saeed Balamash, Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq:
An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling. Expert Syst. Appl. 42(6): 2985-2997 (2015) - [j542]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash:
Description and prediction of time series: A general framework of Granular Computing. Expert Syst. Appl. 42(10): 4830-4839 (2015) - [j541]Edy Portmann, Andreas Meier, Philippe Cudré-Mauroux, Witold Pedrycz:
FORA - A fuzzy set based framework for online reputation management. Fuzzy Sets Syst. 269: 90-114 (2015) - [j540]Witold Pedrycz:
From fuzzy data analysis and fuzzy regression to granular fuzzy data analysis. Fuzzy Sets Syst. 274: 12-17 (2015) - [j539]Dzung Dinh Nguyen, Long Thanh Ngo, Long The Pham, Witold Pedrycz:
Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. Fuzzy Sets Syst. 279: 17-39 (2015) - [j538]Long Thanh Ngo, Dinh Sinh Mai, Witold Pedrycz:
Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Comput. Geosci. 83: 1-16 (2015) - [j537]Witold Pedrycz:
Granular fuzzy rule-based architectures: Pursuing analysis and design in the framework of granular computing. Intell. Decis. Technol. 9(4): 321-330 (2015) - [j536]Wei Lu, Xueyan Chen, Witold Pedrycz, Xiaodong Liu, Jianhua Yang:
Using interval information granules to improve forecasting in fuzzy time series. Int. J. Approx. Reason. 57: 1-18 (2015) - [j535]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Granular fuzzy models: Analysis, design, and evaluation. Int. J. Approx. Reason. 64: 1-19 (2015) - [j534]Jinbo Li, Witold Pedrycz, Xianmin Wang:
A rule-based development of incremental models. Int. J. Approx. Reason. 64: 20-38 (2015) - [j533]Xingchen Hu, Witold Pedrycz, Xianmin Wang:
Comparative analysis of logic operators: A perspective of statistical testing and granular computing. Int. J. Approx. Reason. 66: 73-90 (2015) - [j532]Rafael Alejandro Espín Andrade, Erick González-Caballero, Witold Pedrycz, Eduardo Fernández:
Archimedean-Compensatory Fuzzy Logic Systems. Int. J. Comput. Intell. Syst. 8(sup2): 54-62 (2015) - [j531]Witold Pedrycz:
Concepts and Design Aspects of Granular Models of Type-1 and Type-2. Int. J. Fuzzy Log. Intell. Syst. 15(2): 87-95 (2015) - [j530]Jindong Qin, Xinwang Liu, Witold Pedrycz:
Hesitant Fuzzy Maclaurin Symmetric Mean Operators and Its Application to Multiple-Attribute Decision Making. Int. J. Fuzzy Syst. 17(4): 509-520 (2015) - [j529]Wei Lu, Liyong Zhang, Xiaodong Liu, Jianhua Yang, Witold Pedrycz:
A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights. Int. J. Intell. Syst. 30(2): 81-98 (2015) - [j528]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Granular fuzzy modeling with evolving hyperboxes in multi-dimensional space of numerical data. Neurocomputing 168: 240-253 (2015) - [j527]Ruijun Dong, Witold Pedrycz:
Approximation grid evaluation-based PID control in cascade with nonlinear gain. J. Frankl. Inst. 352(10): 4279-4296 (2015) - [j526]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu:
Unsupervised feature selection via maximum projection and minimum redundancy. Knowl. Based Syst. 75: 19-29 (2015) - [j525]Witold Pedrycz, Rami Al-Hmouz, Abdullah Saeed Balamash, Ali Morfeq:
Designing granular fuzzy models: A hierarchical approach to fuzzy modeling. Knowl. Based Syst. 76: 42-52 (2015) - [j524]Witold Pedrycz, Giancarlo Succi, Alberto Sillitti, Joana Iljazi:
Data description: A general framework of information granules. Knowl. Based Syst. 80: 98-108 (2015) - [j523]Jindong Qin, Xinwang Liu, Witold Pedrycz:
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. Knowl. Based Syst. 86: 116-130 (2015) - [j522]Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng:
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6(4): 607-619 (2015) - [j521]Feng Feng, Witold Pedrycz:
On Scalar Products and Decomposition Theorems of Fuzzy Soft Sets. J. Multiple Valued Log. Soft Comput. 25(1): 45-80 (2015) - [j520]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Optimized face recognition algorithm using radial basis function neural networks and its practical applications. Neural Networks 69: 111-125 (2015) - [j519]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu:
Subspace learning for unsupervised feature selection via matrix factorization. Pattern Recognit. 48(1): 10-19 (2015) - [j518]Xianchang Wang, Xiaodong Liu, Witold Pedrycz, Lishi Zhang:
Fuzzy rule based decision trees. Pattern Recognit. 48(1): 50-59 (2015) - [j517]Witold Pedrycz, Adam Gacek, Xianmin Wang:
Clustering in augmented space of granular constraints: A study in knowledge-based clustering. Pattern Recognit. Lett. 67: 122-129 (2015) - [j516]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Description and classification of granular time series. Soft Comput. 19(4): 1003-1017 (2015) - [j515]Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq, Abdullah Saeed Balamash:
Distributed proximity-based granular clustering: towards a development of global structural relationships in data. Soft Comput. 19(10): 2751-2767 (2015) - [j514]Adam Gacek, Witold Pedrycz:
Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 19(10): 3029 (2015) - [j513]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Human Experts' and a Fuzzy Model's Predictions of Outcomes of Scoliosis Treatment: A Comparative Analysis. IEEE Trans. Biomed. Eng. 62(3): 1001-1007 (2015) - [j512]Witold Pedrycz, Jie Lu:
Guest Editorial Web-Based Intelligent Support Systems - Preface to the Special Section. IEEE Trans. Fuzzy Syst. 23(1): 1-2 (2015) - [j511]Adam Gacek, Witold Pedrycz:
Clustering Granular Data and Their Characterization With Information Granules of Higher Type. IEEE Trans. Fuzzy Syst. 23(4): 850-860 (2015) - [j510]Shuming Wang, Witold Pedrycz:
Robust Granular Optimization: A Structured Approach for Optimization Under Integrated Uncertainty. IEEE Trans. Fuzzy Syst. 23(5): 1372-1386 (2015) - [j509]Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz:
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. 23(5): 1638-1654 (2015) - [j508]Vahid Behbood, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction. IEEE Trans. Fuzzy Syst. 23(6): 1917-1935 (2015) - [j507]Witold Pedrycz, Rami Al-Hmouz, Abdullah Saeed Balamash, Ali Morfeq:
Hierarchical Granular Clustering: An Emergence of Information Granules of Higher Type and Higher Order. IEEE Trans. Fuzzy Syst. 23(6): 2270-2283 (2015) - [j506]Giovanni Acampora, Witold Pedrycz, Autilia Vitiello:
A Competent Memetic Algorithm for Learning Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 23(6): 2397-2411 (2015) - [j505]Yongsheng Ding, Lijun Cheng, Witold Pedrycz, Kuangrong Hao:
Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2521-2534 (2015) - [j504]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifiers. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3187-3200 (2015) - [c208]Jakub Ciecierski, Bartomiej Dybisz, Agnieszka Jastrzebska, Witold Pedrycz:
A Geometrical Approach to Rejecting Option in Pattern Recognition Problem. CISIM 2015: 231-243 - [c207]Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Przemyslaw Rutka:
Chain Code-Based Local Descriptor for Face Recognition. CORES 2015: 307-316 - [c206]Marta Kolasa, Rafal Dlugosz, Witold Pedrycz:
Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology. CYBCONF 2015: 36-41 - [c205]Michael Shoniker, Bruce F. Cockburn, Jie Han, Witold Pedrycz:
Minimizing the number of process corner simulations during design verification. DATE 2015: 289-292 - [c204]Majid RobatJazi, Marek Z. Reformat, Witold Pedrycz, Petr Musílek:
LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. FQAS 2015: 337-352 - [c203]Trong Hop Dang, Long Thanh Ngo, Witold Pedrycz:
Interval Type-2 fuzzy C-Means approach to collaborative clustering. FUZZ-IEEE 2015: 1-7 - [c202]Jindong Qin, Junfeng Chu, Xinwang Liu, Witold Pedrycz:
Approaches to interval type-2 fuzzy multiple attribute group decision making based on grey incidence analysis and FTP utility function. FUZZ-IEEE 2015: 1-8 - [c201]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. ICAART (2) 2015: 90-99 - [c200]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. ICAART (2) 2015: 406-413 - [c199]Piotr Prokopowicz, Witold Pedrycz:
The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing. ICAISC (1) 2015: 249-259 - [c198]Edy Portmann, Patrick Kaltenrieder, Witold Pedrycz:
Knowledge Representation through Graphs. SCSE 2015: 245-248 - [c197]Pawel Karczmarek, Adam Kiersztyn, Przemyslaw Rutka, Witold Pedrycz:
Linguistic descriptors in face recognition: A literature survey and the perspectives of future development. SPA 2015: 98-103 - [c196]Majid RobatJazi, Marek Z. Reformat, Witold Pedrycz, Petr Musílek:
Querying RDF Data with Imprecise Time Phrases. WI-IAT (1) 2015: 445-450 - [p23]Janusz Kacprzyk, Witold Pedrycz:
Introduction. Handbook of Computational Intelligence 2015: 1-4 - [p22]Witold Pedrycz, Kuwen Li, Marek Z. Reformat:
Evolutionary Reduction of Fuzzy Rule-Based Models. Fifty Years of Fuzzy Logic and its Applications 2015: 459-481 - [e24]Janusz Kacprzyk, Witold Pedrycz:
Springer Handbook of Computational Intelligence. Springer Handbooks, Springer 2015, ISBN 978-3-662-43504-5 [contents] - [i5]Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz:
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection. CoRR abs/1506.01060 (2015) - 2014
- [b8]Animesh Adhikari, Jhimli Adhikari, Witold Pedrycz:
Data Analysis and Pattern Recognition in Multiple Databases. Intelligent Systems Reference Library 61, Springer 2014, ISBN 978-3-319-03409-6, pp. 1-236 - [j503]Mohammad Reza Rajati, Hamid Khaloozadeh, Witold Pedrycz:
Fuzzy logic and self-referential reasoning: a comparative study with some new concepts. Artif. Intell. Rev. 41(3): 331-357 (2014) - [j502]Krzysztof Zaniewski, Witold Pedrycz:
A hybrid optimization approach to conformance testing of finite automata. Appl. Soft Comput. 23: 91-103 (2014) - [j501]Witold Pedrycz:
Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing. Eur. J. Oper. Res. 232(1): 137-145 (2014) - [j500]Ying Yu, Witold Pedrycz, Duoqian Miao:
Multi-label classification by exploiting label correlations. Expert Syst. Appl. 41(6): 2989-3004 (2014) - [j499]Lizhu Wang, Xiaodong Liu, Witold Pedrycz, Yongyun Shao:
Determination of temporal information granules to improve forecasting in fuzzy time series. Expert Syst. Appl. 41(6): 3134-3142 (2014) - [j498]Wei Lu, Witold Pedrycz, Xiaodong Liu, Jianhua Yang, Peng Li:
The modeling of time series based on fuzzy information granules. Expert Syst. Appl. 41(8): 3799-3808 (2014) - [j497]Liyong Zhang, Witold Pedrycz, Wei Lu, Xiaodong Liu, Li Zhang:
An interval weighed fuzzy c-means clustering by genetically guided alternating optimization. Expert Syst. Appl. 41(13): 5960-5971 (2014) - [j496]Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
A design of granular fuzzy classifier. Expert Syst. Appl. 41(15): 6786-6795 (2014) - [j495]Guohua Wu, Dishan Qiu, Ying Yu, Witold Pedrycz, Manhao Ma, Haifeng Li:
Superior solution guided particle swarm optimization combined with local search techniques. Expert Syst. Appl. 41(16): 7536-7548 (2014) - [j494]Ayaz Isazadeh, Witold Pedrycz, Farnaz Mahan:
ECA rule learning in dynamic environments. Expert Syst. Appl. 41(17): 7847-7857 (2014) - [j493]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Kisung Seo:
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. Fuzzy Sets Syst. 237: 96-117 (2014) - [j492]Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Witold Pedrycz:
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets Syst. 243: 50-69 (2014) - [j491]Francisco Javier Cabrerizo, Raquel Ureña, Witold Pedrycz, Enrique Herrera-Viedma:
Building consensus in group decision making with an allocation of information granularity. Fuzzy Sets Syst. 255: 115-127 (2014) - [j490]Cat-Ho Nguyen, Van-Nam Huynh, Witold Pedrycz:
A construction of sound semantic linguistic scales using 4-tuple representation of term semantics. Int. J. Approx. Reason. 55(3): 763-786 (2014) - [j489]Giovanni Acampora, Witold Pedrycz, Athanasios V. Vasilakos:
Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine. Int. J. Approx. Reason. 55(6): 1336-1356 (2014) - [j488]Rafik A. Aliev, Witold Pedrycz, Lala M. Zeinalova, Oleg H. Huseynov:
Decision Making with Second-Order Imprecise Probabilities. Int. J. Intell. Syst. 29(2): 137-160 (2014) - [j487]Hesam Izakian, Witold Pedrycz:
Agreement-based fuzzy C-means for clustering data with blocks of features. Neurocomputing 127: 266-280 (2014) - [j486]Jeong-min Yu, Moongu Jeon, Witold Pedrycz:
Weighted feature trajectories and concatenated bag-of-features for action recognition. Neurocomputing 131: 200-207 (2014) - [j485]Enrique Herrera-Viedma, Francisco Javier Cabrerizo, Janusz Kacprzyk, Witold Pedrycz:
A review of soft consensus models in a fuzzy environment. Inf. Fusion 17: 4-13 (2014) - [j484]Witold Pedrycz, Mingli Song:
A granulation of linguistic information in AHP decision-making problems. Inf. Fusion 17: 93-101 (2014) - [j483]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz:
Genetic interval neural networks for granular data regression. Inf. Sci. 257: 313-330 (2014) - [j482]Jinho Park, Moongu Jeon, Witold Pedrycz:
Spectral clustering with physical intuition on spring-mass dynamics. J. Frankl. Inst. 351(6): 3245-3268 (2014) - [j481]Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39(1): 207-240 (2014) - [j480]Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq, Abdullah Saeed Balamash:
Building granular fuzzy decision support systems. Knowl. Based Syst. 58: 3-10 (2014) - [j479]Wei Lu, Jianhua Yang, Xiaodong Liu, Witold Pedrycz:
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering. Knowl. Based Syst. 70: 242-255 (2014) - [j478]Jiqang Chen, Witold Pedrycz, Litao Ma, Chao Wang:
A new information security risk analysis method based on membership degree. Kybernetes 43(5): 686-698 (2014) - [j477]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs). Neural Networks 60: 166-181 (2014) - [j476]De-Qiang Li, Witold Pedrycz:
A central profile-based 3D face pose estimation. Pattern Recognit. 47(2): 525-534 (2014) - [j475]Pawel Karczmarek, Witold Pedrycz, Marek Z. Reformat, Elaheh Akhoundi:
A study in facial regions saliency: a fuzzy measure approach. Soft Comput. 18(2): 379-391 (2014) - [j474]Kairui Cao, Xiao Zhi Gao, Thanos Vasilakos, Witold Pedrycz:
Analysis of stability and robust stability of polynomial fuzzy model-based control systems using a sum-of-squares approach. Soft Comput. 18(3): 433-442 (2014) - [j473]Aranzazu Jurio, Humberto Bustince, Miguel Pagola, Pedro Couto, Witold Pedrycz:
New measures of homogeneity for image processing: an application to fingerprint segmentation. Soft Comput. 18(6): 1055-1066 (2014) - [j472]Witold Pedrycz, Wei Lu, Xiaodong Liu, Wei Wang, Lizhong Wang:
Human-centric analysis and interpretation of time series: a perspective of granular computing. Soft Comput. 18(12): 2397-2411 (2014) - [j471]Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Zhihua Wei:
From Principal Curves to Granular Principal Curves. IEEE Trans. Cybern. 44(6): 748-760 (2014) - [j470]Shuming Wang, Junzo Watada, Witold Pedrycz:
Granular Robust Mean-CVaR Feedstock Flow Planning for Waste-to-Energy Systems Under Integrated Uncertainty. IEEE Trans. Cybern. 44(10): 1846-1857 (2014) - [j469]Xin Xu, Zhenhua Huang, Daniel Graves, Witold Pedrycz:
A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning. IEEE Trans. Cybern. 44(12): 2613-2625 (2014) - [j468]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Carlos Artemio Coello Coello, Witold Pedrycz:
Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining. IEEE Trans. Evol. Comput. 18(1): 1-3 (2014) - [j467]Witold Pedrycz, Wladyslaw Homenda:
From Fuzzy Cognitive Maps to Granular Cognitive Maps. IEEE Trans. Fuzzy Syst. 22(4): 859-869 (2014) - [j466]Witold Pedrycz, Hesam Izakian:
Cluster-Centric Fuzzy Modeling. IEEE Trans. Fuzzy Syst. 22(6): 1585-1597 (2014) - [j465]Hesam Izakian, Witold Pedrycz:
Anomaly Detection and Characterization in Spatial Time Series Data: A Cluster-Centric Approach. IEEE Trans. Fuzzy Syst. 22(6): 1612-1624 (2014) - [c195]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Joining Concept's Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling. CISIM 2014: 397-408 - [c194]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Time Series Modeling with Fuzzy Cognitive Maps: Simplification Strategies - The Case of a Posteriori Removal of Nodes and Weights. CISIM 2014: 409-420 - [c193]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. ESANN 2014 - [c192]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
From data to granular data and granular classifiers. FUZZ-IEEE 2014: 432-438 - [c191]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Modeling time series with fuzzy cognitive maps. FUZZ-IEEE 2014: 2055-2062 - [c190]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Maps reconstruction. FUZZ-IEEE 2014: 2572-2579 - [c189]Gabriella Pasi, Witold Pedrycz:
Introduction to Information Filtering and Retrieval: Soft Computing-Based Approaches Minitrack. HICSS 2014: 905 - [c188]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. ICAART (1) 2014: 499-510 - [c187]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Granular Cognitive Map Reconstruction - Adjusting Granularity Parameters. ICEIS (2) 2014: 175-184 - [c186]Wladyslaw Homenda, Marcin Luckner, Witold Pedrycz:
Classification with rejection based on various SVM techniques. IJCNN 2014: 3480-3487 - [c185]Wladyslaw Homenda, Witold Pedrycz:
Linguistic Approach to Granular Cognitive Maps - User's Tool for Knowledge Accessing and Processing. IEEE Conf. on Intelligent Systems (1) 2014: 205-216 - [c184]Wladyslaw Homenda, Witold Pedrycz:
Automatic Data Understanding - A Linguistic Tool for Granular Cognitive Maps Designing. IEEE Conf. on Intelligent Systems (1) 2014: 217-228 - [c183]Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz:
Nodes Selection Criteria for Fuzzy Cognitive Maps Designed to Model Time Series. IEEE Conf. on Intelligent Systems (2) 2014: 859-870 - [c182]Francisco Javier Cabrerizo, Raquel Ureña, Juan Antonio Morente-Molinera, Witold Pedrycz, Francisco Chiclana, Enrique Herrera-Viedma:
A New Selection Process Based on Granular Computing for Group Decision Making Problems. SoMeT (Selected Papers) 2014: 13-24 - [c181]Francisco Javier Cabrerizo, Witold Pedrycz, Francisco Chiclana, Enrique Herrera-Viedma:
Improving Consistency in Fuzzy Preference Relations with an Allocation of Information Granularity. SoMeT 2014: 194-205 - [p21]Edy Portmann, Witold Pedrycz:
Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 89-105 - [e23]Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He:
Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings. Communications in Computer and Information Science 481, Springer 2014, ISBN 978-3-662-45651-4 [contents] - [e22]Duoqian Miao, Witold Pedrycz, Dominik Slezak, Georg Peters, Qinghua Hu, Ruizhi Wang:
Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings. Lecture Notes in Computer Science 8818, Springer 2014, ISBN 978-3-319-11739-3 [contents] - [e21]Peijun Guo, Witold Pedrycz:
Human-Centric Decision-Making Models for Social Sciences. Studies in Computational Intelligence 502, Springer 2014, ISBN 978-3-642-39306-8 [contents] - [e20]Witold Pedrycz, Shyi-Ming Chen:
Social Networks: A Framework of Computational Intelligence. Studies in Computational Intelligence 526, Springer 2014, ISBN 978-3-319-02992-4 [contents] - [e19]Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk:
Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence 547, Springer 2014, ISBN 978-3-319-05169-7 [contents] - [i4]Guohua Wu, Huilin Wang, Haifeng Li, Witold Pedrycz, Dishan Qiu, Manhao Ma, Jin Liu:
An adaptive Simulated Annealing-based satellite observation scheduling method combined with a dynamic task clustering strategy. CoRR abs/1401.6098 (2014) - [i3]Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz:
Entropic One-Class Classifier. CoRR abs/1407.7556 (2014) - 2013
- [j464]Witold Pedrycz, Wladyslaw Homenda:
Building the fundamentals of granular computing: A principle of justifiable granularity. Appl. Soft Comput. 13(10): 4209-4218 (2013) - [j463]Wei Huang, Sung-Kwun Oh, Zhaolu Guo, Witold Pedrycz:
A space search optimization algorithm with accelerated convergence strategies. Appl. Soft Comput. 13(12): 4659-4675 (2013) - [j462]Xiaodong Liu, Xinghua Feng, Witold Pedrycz:
Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach. Data Knowl. Eng. 84: 1-25 (2013) - [j461]Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Witold Pedrycz:
A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. Eur. J. Oper. Res. 230(3): 624-633 (2013) - [j460]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz:
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application. Expert Syst. Appl. 40(5): 1451-1466 (2013) - [j459]Michal Bereta, Witold Pedrycz, Marek Z. Reformat:
Analysis and design of rank-based classifiers. Expert Syst. Appl. 40(8): 3256-3265 (2013) - [j458]Lizhu Wang, Xiaodong Liu, Witold Pedrycz:
Effective intervals determined by information granules to improve forecasting in fuzzy time series. Expert Syst. Appl. 40(14): 5673-5679 (2013) - [j457]Rafik A. Aliev, Witold Pedrycz, Akif V. Alizadeh, Oleg H. Huseynov:
Fuzzy optimality based decision making under imperfect information without utility. Fuzzy Optim. Decis. Mak. 12(4): 357-372 (2013) - [j456]Witold Pedrycz:
From Numeric to Granular Description and Interpretation of Information Granules. Fundam. Informaticae 127(1-4): 399-412 (2013) - [j455]Cat Ho Nguyen, Witold Pedrycz, Thang Long Duong, Thai-Son Tran:
A genetic design of linguistic terms for fuzzy rule based classifiers. Int. J. Approx. Reason. 54(1): 1-21 (2013) - [j454]Decui Liang, Dun Liu, Witold Pedrycz, Pei Hu:
Triangular fuzzy decision-theoretic rough sets. Int. J. Approx. Reason. 54(8): 1087-1106 (2013) - [j453]Ying Yu, Witold Pedrycz, Duoqian Miao:
Neighborhood rough sets based multi-label classification for automatic image annotation. Int. J. Approx. Reason. 54(9): 1373-1387 (2013) - [j452]Witold Pedrycz:
Associations Among Information Granules and Their Optimization in Granulation-Degranulation Mechanism of Granular Computing. Int. J. Fuzzy Log. Intell. Syst. 13(4): 245-253 (2013) - [j451]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov:
Behavioral Decision Making with Combined States under Imperfect Information. Int. J. Inf. Technol. Decis. Mak. 12(3): 619- (2013) - [j450]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz:
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119: 292-307 (2013) - [j449]Witold Pedrycz:
Knowledge Management and Semantic Modeling: a Role of Information Granularity. Int. J. Softw. Eng. Knowl. Eng. 23(1): 5-12 (2013) - [j448]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229: 40-57 (2013) - [j447]Wei Huang, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy time-dependent project scheduling problem. Inf. Sci. 246: 100-114 (2013) - [j446]Witold Pedrycz:
From logic descriptors to granular logic descriptors: a study in allocation of information granularity. J. Ambient Intell. Humaniz. Comput. 4(4): 411-419 (2013) - [j445]Michal Bereta, Witold Pedrycz, Marek Z. Reformat:
Local descriptors and similarity measures for frontal face recognition: A comparative analysis. J. Vis. Commun. Image Represent. 24(8): 1213-1231 (2013) - [j444]Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz:
A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36(1): 121-151 (2013) - [j443]Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Caiming Zhong:
A global structure-based algorithm for detecting the principal graph from complex data. Pattern Recognit. 46(6): 1638-1647 (2013) - [j442]Michal Bereta, Pawel Karczmarek, Witold Pedrycz, Marek Z. Reformat:
Local descriptors in application to the aging problem in face recognition. Pattern Recognit. 46(10): 2634-2646 (2013) - [j441]Can Gao, Witold Pedrycz, Duoqian Miao:
Rough subspace-based clustering ensemble for categorical data. Soft Comput. 17(9): 1643-1658 (2013) - [j440]Adam Gacek, Witold Pedrycz:
Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 17(9): 1659-1671 (2013) - [j439]JingTao Yao, Athanasios V. Vasilakos, Witold Pedrycz:
Granular Computing: Perspectives and Challenges. IEEE Trans. Cybern. 43(6): 1977-1989 (2013) - [j438]Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq, Abdullah Saeed Balamash:
The Design of Free Structure Granular Mappings: The Use of the Principle of Justifiable Granularity. IEEE Trans. Cybern. 43(6): 2105-2113 (2013) - [j437]Hesam Izakian, Witold Pedrycz, Iqbal Jamal:
Clustering Spatiotemporal Data: An Augmented Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 21(5): 855-868 (2013) - [j436]Hooman Tahayori, Alireza Sadeghian, Witold Pedrycz:
Induction of Shadowed Sets Based on the Gradual Grade of Fuzziness. IEEE Trans. Fuzzy Syst. 21(5): 937-949 (2013) - [j435]Witold Pedrycz:
Proximity-Based Clustering: A Search for Structural Consistency in Data With Semantic Blocks of Features. IEEE Trans. Fuzzy Syst. 21(5): 978-982 (2013) - [j434]Mingli Song, Witold Pedrycz:
Granular Neural Networks: Concepts and Development Schemes. IEEE Trans. Neural Networks Learn. Syst. 24(4): 542-553 (2013) - [c180]Witold Pedrycz:
Da as a Flawless Organizer. A Tribute to Prof. Dr. Da Ruan 2013: 203 - [c179]Witold Pedrycz:
Fuzzy Sets: A Brief Retrospect and Beyond. On Fuzziness (2) 2013: 533-537 - [c178]Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq:
Granular representation schemes of time series: A study in an optimal allocation of information granularity. FOCI 2013: 44-51 - [c177]Kimia Hassanzadeh, Marek Z. Reformat, Witold Pedrycz, Iqbal Jamal, John Berezowski:
T2R: System for Converting Textual Documents into RDF Triples. Web Intelligence/IAT Workshops 2013: 221-228 - [c176]Guohua Wu, Witold Pedrycz, Dishan Qiu, Manhao Ma:
A new granular particle swarm optimization variant for Granular optimization problems. IFSA/NAFIPS 2013: 24-28 - [c175]Ying Yu, Witold Pedrycz, Duoqian Miao, Hongyun Zhang:
Neighborhood Rough Sets based Multi-Label classification. IFSA/NAFIPS 2013: 86-90 - [c174]K. Krishna Mohan, Marek Z. Reformat, Witold Pedrycz:
Interval-based analysis of BOCR (benefits, opportunities, costs and risks) models evaluated by multiple experts. IFSA/NAFIPS 2013: 244-250 - [c173]Orion Fausto Reyes-Galaviz, Witold Pedrycz:
Fuzzy relational structures: Learning alternatives for fuzzy modeling. IFSA/NAFIPS 2013: 374-379 - [c172]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
Growing rule-based fuzzy model developed with the aid of fuzzy clustering. IFSA/NAFIPS 2013: 573-578 - [c171]Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz:
Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. IFSA/NAFIPS 2013: 655-660 - [c170]Eric Chalmers, Witold Pedrycz, Edmond Lou:
Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering. IFSA/NAFIPS 2013: 837-842 - [c169]Hongyun Zhang, Duoqian Miao, Witold Pedrycz:
Fuzzy granular principal curves algorithm for large data sets. IFSA/NAFIPS 2013: 956-961 - [c168]Abraham Assefa Tsehayae, Witold Pedrycz, Aminah Robinson Fayek:
Application of granular fuzzy modeling for abstracting labour productivity knowledge bases. IFSA/NAFIPS 2013: 1096-1101 - [c167]W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz:
A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. IFSA/NAFIPS 2013: 1209-1214 - [c166]Wladyslaw Homenda, Witold Pedrycz:
Finite automata with imperfect information as tools for accumulating information. IFSA/NAFIPS 2013: 1360-1365 - [c165]Hesam Izakian, Witold Pedrycz:
Anomaly detection in time series data using a fuzzy c-means clustering. IFSA/NAFIPS 2013: 1513-1518 - [c164]Wladyslaw Homenda, Marcin Luckner, Witold Pedrycz:
Classification with Rejection: Concepts and Evaluations. KICSS 2013: 413-425 - [c163]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Fuzzy Rule-Based System through Granular Computing. SMC 2013: 800-805 - [c162]Dario Malchiodi, Witold Pedrycz:
Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering. WILF 2013: 52-59 - [p20]Ikno Kim, Junzo Watada, Witold Pedrycz:
DNA Rough-Set Computing in the Development of Decision Rule Reducts. Rough Sets and Intelligent Systems (1) 2013: 409-438 - [e18]Witold Pedrycz, Shyi-Ming Chen:
Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective. Intelligent Systems Reference Library 47, Springer 2013, ISBN 978-3-642-33438-2 [contents] - 2012
- [j433]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization. Appl. Comput. Intell. Soft Comput. 2012: 347157:1-347157:21 (2012) - [j432]Nick J. Pizzi, Witold Pedrycz:
Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Syst. 2012: 920920:1-920920:7 (2012) - [j431]Heesung Lee, Euntai Kim, Witold Pedrycz:
A new selective neural network ensemble with negative correlation. Appl. Intell. 37(4): 488-498 (2012) - [j430]Adam Gacek, Witold Pedrycz:
A characterization of electrocardiogram signals through optimal allocation of information granularity. Artif. Intell. Medicine 54(2): 125-134 (2012) - [j429]Witold Pedrycz, Barbara Russo, Giancarlo Succi:
Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity. Appl. Soft Comput. 12(8): 1985-1995 (2012) - [j428]Witold Pedrycz, Mingli Song:
A genetic reduction of feature space in the design of fuzzy models. Appl. Soft Comput. 12(9): 2801-2816 (2012) - [j427]Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang, Witold Pedrycz:
A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. 81-82: 104-117 (2012) - [j426]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25(3): 520-532 (2012) - [j425]Xin Wang, Xiaodong Liu, Witold Pedrycz, Xiaolei Zhu, Guangfei Hu:
Mining axiomatic fuzzy set association rules for classification problems. Eur. J. Oper. Res. 218(1): 202-210 (2012) - [j424]Ho-Sung Park, Witold Pedrycz, Y.-D. Chung, Sung-Kwun Oh:
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. Expert Syst. Appl. 39(1): 1021-1039 (2012) - [j423]Xiao-bing Liu, Kun Zhai, Witold Pedrycz:
An improved association rules mining method. Expert Syst. Appl. 39(1): 1362-1374 (2012) - [j422]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
Fuzzy linear regression based on Polynomial Neural Networks. Expert Syst. Appl. 39(10): 8909-8928 (2012) - [j421]Witold Pedrycz, Sharifah Sakinah Syed Ahmad:
Evolutionary feature selection via structure retention. Expert Syst. Appl. 39(15): 11801-11807 (2012) - [j420]Adam Pedrycz, Kaoru Hirota, Witold Pedrycz, Fangyan Dong:
Granular representation and granular computing with fuzzy sets. Fuzzy Sets Syst. 203: 17-32 (2012) - [j419]Witold Pedrycz, Mingli Song:
Granular fuzzy models: a study in knowledge management in fuzzy modeling. Int. J. Approx. Reason. 53(7): 1061-1079 (2012) - [j418]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov:
Decision Theory with Imprecise Probabilities. Int. J. Inf. Technol. Decis. Mak. 11(2): 271-306 (2012) - [j417]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo:
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78(1): 121-132 (2012) - [j416]Rafik A. Aliev, Witold Pedrycz, Bijan Fazlollahi, Oleg H. Huseynov, Akif V. Alizadeh, Babek G. Guirimov:
Fuzzy logic-based generalized decision theory with imperfect information. Inf. Sci. 189: 18-42 (2012) - [j415]Sushmita Mitra, Partha Pratim Kundu, Witold Pedrycz:
Feature selection using structural similarity. Inf. Sci. 198: 48-61 (2012) - [j414]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
An Efficient Solution of Real-Time Fuzzy Regression Analysis to Information Granules Problem. J. Adv. Comput. Intell. Intell. Informatics 16(2): 199-209 (2012) - [j413]Ilsun You, Witold Pedrycz:
Editorial: Advanced intelligent and security services in mobile and ubiquitous computing. J. Intell. Manuf. 23(4): 1257-1258 (2012) - [j412]De-Qiang Li, Xusheng Tang, Witold Pedrycz:
Face recognition using decimated redundant discrete wavelet transforms. Mach. Vis. Appl. 23(2): 391-401 (2012) - [j411]Marta Kolasa, Rafal Dlugosz, Witold Pedrycz, Michal Szulc:
A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. Neural Networks 25: 146-160 (2012) - [j410]Daniel Graves, Joost Noppen, Witold Pedrycz:
Clustering with proximity knowledge and relational knowledge. Pattern Recognit. 45(7): 2633-2644 (2012) - [j409]Binod Vaidya, Jong Hyuk Park, Hamid R. Arabnia, Witold Pedrycz, Sheng-Lung Peng:
Bio-inspired computing for hybrid information technology. Soft Comput. 16(3): 367-368 (2012) - [j408]Hesam Izakian, Witold Pedrycz:
A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection. Swarm Evol. Comput. 4: 1-11 (2012) - [j407]Jun Zhao, Wei Wang, Witold Pedrycz, Xiangwei Tian:
Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. IEEE Trans. Control. Syst. Technol. 20(3): 835-845 (2012) - [j406]Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz:
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE Trans. Fuzzy Syst. 20(3): 444-462 (2012) - [j405]Jun Zhao, Quanli Liu, Witold Pedrycz, Dexiang Li:
Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry. IEEE Trans. Ind. Informatics 8(4): 953-963 (2012) - [j404]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu:
Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 24(9): 1686-1698 (2012) - [j403]Jun Zhao, Quanli Liu, Wei Wang, Witold Pedrycz, Liqun Cong:
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. IEEE Trans. Neural Networks Learn. Syst. 23(3): 439-450 (2012) - [j402]Witold Pedrycz, Andrzej Bargiela:
An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering. IEEE Trans. Syst. Man Cybern. Part B 42(3): 582-590 (2012) - [j401]Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan:
Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Trans. Syst. Man Cybern. Part B 42(3): 900-912 (2012) - [j400]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz:
An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1093-1102 (2012) - [c161]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz:
Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c160]Rafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-André Farine:
Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. ESANN 2012 - [c159]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Pierre-André Farine:
Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. ESANN 2012 - [c158]Witold Pedrycz, Wladyslaw Homenda:
From Fuzzy Cognitive Maps to Granular Cognitive Maps. ICCCI (1) 2012: 185-193 - [c157]Wladyslaw Homenda, Witold Pedrycz:
Finite Automata with Imperfect Information as Classification Tools. ICCCI (1) 2012: 465-474 - [c156]Yicheng Wei, Junzo Watada, Witold Pedrycz:
A Fuzzy Support Vector Machine with Qualitative Regression Preset. ICGEC 2012: 393-399 - [c155]Witold Pedrycz:
Granular Logic Systems and their Development in the Setting of Granular fuzzy Relational equations. QLSC 2012 - [c154]Kuwen Li, Marek Z. Reformat, Witold Pedrycz, Jinfeng Yu:
Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling. SEKE 2012: 106-111 - [c153]Majid RobatJazi, Marek Z. Reformat, Witold Pedrycz:
Ontology-based framework for reasoning with fuzzy temporal data. SMC 2012: 2030-2035 - [p19]Witold Pedrycz:
From Fuzzy Rule-Based Systems to Granular Fuzzy Rule-Based Systems: A Study in Granular Computing. Combining Experimentation and Theory 2012: 151-162 - 2011
- [j399]Witold Pedrycz, Shu-Ching Chen, Stuart Harvey Rubin, Gordon K. Lee:
Risk evaluation through decision-support architectures in threat assessment and countering terrorism. Appl. Soft Comput. 11(1): 621-631 (2011) - [j398]M. Hadi Mashinchi, Mehmet A. Orgun, Witold Pedrycz:
Hybrid optimization with improved tabu search. Appl. Soft Comput. 11(2): 1993-2006 (2011) - [j397]Soowhan Han, Sungdae Park, Witold Pedrycz:
Conditional fuzzy clustering for blind channel equalization. Appl. Soft Comput. 11(2): 2777-2786 (2011) - [j396]Oscar Castillo, Patricia Melin, Witold Pedrycz:
Design of interval type-2 fuzzy models through optimal granularity allocation. Appl. Soft Comput. 11(8): 5590-5601 (2011) - [j395]Ho-Sung Park, Y.-D. Chung, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. Eng. Appl. Artif. Intell. 24(3): 543-554 (2011) - [j394]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
Real-time fuzzy regression analysis: A convex hull approach. Eur. J. Oper. Res. 210(3): 606-617 (2011) - [j393]Qinghua Hu, Lei Zhang, David Zhang, Wei Pan, Shuang An, Witold Pedrycz:
Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Syst. Appl. 38(9): 10737-10750 (2011) - [j392]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. Expert Syst. Appl. 38(9): 11217-11229 (2011) - [j391]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park:
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163(1): 54-77 (2011) - [j390]Guoqing Chen, Witold Pedrycz:
Report on IFSA Workshop, Beijing, July 4-5, 2010. Fuzzy Sets Syst. 168(1): 102-103 (2011) - [j389]Sanghamitra Bandyopadhyay, Sriparna Saha, Witold Pedrycz:
Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. Fuzzy Sets Syst. 170(1): 22-42 (2011) - [j388]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
Design of fuzzy radial basis function-based polynomial neural networks. Fuzzy Sets Syst. 185(1): 15-37 (2011) - [j387]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, Virendrakumar C. Bhavsar:
Cognitive Informatics and Cognitive Computing in Year 10 and Beyond. Int. J. Cogn. Informatics Nat. Intell. 5(4): 1-21 (2011) - [j386]Witold Pedrycz:
Human Centricity and Perception-Based Perspective and Their Centrality to the Agenda of Granular Computing. Int. J. Cogn. Informatics Nat. Intell. 5(4): 44-60 (2011) - [j385]Mingli Song, Witold Pedrycz:
From local neural networks to granular neural networks: A study in information granulation. Neurocomputing 74(18): 3931-3940 (2011) - [j384]Rafik A. Aliev, Witold Pedrycz, Babek G. Guirimov, Rashad R. Aliev, Umit Ilhan, Mustafa Babagil, Sadik Mammadli:
Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization. Inf. Sci. 181(9): 1591-1608 (2011) - [j383]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks. J. Frankl. Inst. 348(2): 415-425 (2011) - [j382]Witold Pedrycz:
The Principle of Justifiable Granularity and an Optimization of Information Granularity Allocation as Fundamentals of Granular Computing. J. Inf. Process. Syst. 7(3): 397-412 (2011) - [j381]Witold Pedrycz, Barbara Russo, Giancarlo Succi:
A model of job satisfaction for collaborative development processes. J. Syst. Softw. 84(5): 739-752 (2011) - [j380]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz:
Study of select items in different data sources by grouping. Knowl. Inf. Syst. 27(1): 23-43 (2011) - [j379]Minghu Ha, Jiqiang Chen, Witold Pedrycz, Lu Sun:
Bounds on the rate of convergence of learning processes based on random sets and set-valued probability. Kybernetes 40(9/10): 1459-1485 (2011) - [j378]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognit. 44(8): 1658-1670 (2011) - [j377]Jie Zhou, Witold Pedrycz, Duoqian Miao:
Shadowed sets in the characterization of rough-fuzzy clustering. Pattern Recognit. 44(8): 1738-1749 (2011) - [j376]Witold Pedrycz:
Information granules and their use in schemes of knowledge management. Sci. Iran. 18(3): 602-610 (2011) - [j375]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
Optimized fuzzy PD cascade controller: A comparative analysis and design. Simul. Model. Pract. Theory 19(1): 181-195 (2011) - [j374]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang:
Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) - [j373]Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang:
Analysis of alternative objective functions for attribute reduction in complete decision tables. Soft Comput. 15(8): 1601-1616 (2011) - [j372]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
Current-Mode Analog Adaptive Mechanism for Ultra-Low-Power Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 58-II(1): 31-35 (2011) - [j371]Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz:
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE Trans. Control. Syst. Technol. 19(3): 507-520 (2011) - [j370]M. Hadi Mashinchi, Mehmet A. Orgun, Mashaallah Mashinchi, Witold Pedrycz:
A Tabu-Harmony Search-Based Approach to Fuzzy Linear Regression. IEEE Trans. Fuzzy Syst. 19(3): 432-448 (2011) - [j369]Witold Pedrycz, Mingli Song:
Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity. IEEE Trans. Fuzzy Syst. 19(3): 527-539 (2011) - [j368]Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen:
Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. 23(11): 1649-1667 (2011) - [j367]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz, Michal Szulc:
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. IEEE Trans. Neural Networks 22(12): 2091-2104 (2011) - [j366]Witold Pedrycz:
Introducing WIREs data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 1(1): 1 (2011) - [c152]Witold Pedrycz:
Human centricity and perception-based perspective of architectures of Granular Computing. IEEE ICCI*CC 2011: 3 - [c151]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu, Virendrakumar C. Bhavsar, Marina L. Gavrilova, Witold Kinsner, Du Zhang:
Cognitive Informatics in Year 10 and Beyond: summary of the plenary panel. IEEE ICCI*CC 2011: 11-22 - [c150]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Fisherman learning algorithm of the SOM realized in the CMOS technology. ESANN 2011 - [c149]Pekka Abrahamsson, Ilenia Fronza, Raimund Moser, Jelena Vlasenko, Witold Pedrycz:
Predicting Development Effort from User Stories. ESEM 2011: 400-403 - [c148]Azizul Azhar Ramli, Witold Pedrycz, Junzo Watada, Nureize Arbaiy:
A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach. FUZZ-IEEE 2011: 2851-2858 - [c147]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
A Convex Hull-Based Fuzzy Regression to Information Granules Problem - An Efficient Solution to Real-Time Data Analysis. ICSECS (2) 2011: 190-204 - [c146]Jhimli Adhikari, P. R. Rao, Witold Pedrycz:
Mining Icebergs in Time-Stamped Databases. IICAI 2011: 641-660 - [c145]Witold Pedrycz:
Concepts and Design of Granular Fuzzy Neural Networks - New Constructs of Computational Intelligence. IJCCI (NCTA) 2011: 11 - [c144]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu:
Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) 2011: 426-433 - [c143]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Granular Instances Selection for Fuzzy Modeling. MLDM 2011: 99-111 - [c142]Witold Pedrycz:
Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades. RSKT 2011: 16 - [c141]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Feature and instance selection via cooperative PSO. SMC 2011: 2127-2132 - [c140]Witold Pedrycz:
From Fuzzy Models to Granular Fuzzy Models. WILF 2011: 75-82 - [c139]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz:
Granular Data Regression with Neural Networks. WILF 2011: 172-179 - [e17]Anna Maria Fanelli, Witold Pedrycz, Alfredo Petrosino:
Fuzzy Logic and Applications - 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011. Proceedings. Lecture Notes in Computer Science 6857, Springer 2011, ISBN 978-3-642-23712-6 [contents] - [e16]Oscar Castillo, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence 318, Springer 2011, ISBN 978-3-642-15533-8 [contents] - 2010
- [b7]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz:
Developing Multi-Database Mining Applications. Advanced Information and Knowledge Processing, Springer 2010, ISBN 978-1-8499-6043-4, pp. I-IX, 1-127 - [j365]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang:
Positive approximation: An accelerator for attribute reduction in rough set theory. Artif. Intell. 174(9-10): 597-618 (2010) - [j364]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32(1): 27-46 (2010) - [j363]Naimeh Sadeghi, Aminah Robinson Fayek, Witold Pedrycz:
Fuzzy Monte Carlo Simulation and Risk Assessment in Construction. Comput. Aided Civ. Infrastructure Eng. 25(4): 238-252 (2010) - [j362]Witold Pedrycz, Stuart Harvey Rubin:
Data compactification and computing with words. Eng. Appl. Artif. Intell. 23(3): 346-356 (2010) - [j361]Witold Pedrycz:
The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization. Expert Syst. Appl. 37(10): 7288-7294 (2010) - [j360]Witold Pedrycz:
Evolvable fuzzy systems: some insights and challenges. Evol. Syst. 1(2): 73-82 (2010) - [j359]Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk:
Preface to the special section on new trends on pattern recognition with fuzzy models. Fuzzy Sets Syst. 161(1): 1-2 (2010) - [j358]Daniel Graves, Witold Pedrycz:
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets Syst. 161(4): 522-543 (2010) - [j357]Mahnhoon Lee, Witold Pedrycz:
Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features. Fuzzy Sets Syst. 161(4): 564-577 (2010) - [j356]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. Fuzzy Sets Syst. 161(13): 1803-1822 (2010) - [j355]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets Syst. 161(19): 2515-2532 (2010) - [j354]Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu:
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reason. 51(4): 453-471 (2010) - [j353]Nick J. Pizzi, Witold Pedrycz:
Aggregating multiple classification results using fuzzy integration and stochastic feature selection. Int. J. Approx. Reason. 51(8): 883-894 (2010) - [j352]Witold Pedrycz:
Hierarchical Architectures of Fuzzy Models: From Type-1 fuzzy sets to Information Granules of Higher Type. Int. J. Comput. Intell. Syst. 3(2): 202-214 (2010) - [j351]Shu Cheng, Ruijun Dong, Witold Pedrycz:
A framework of fuzzy hybrid systems for modelling and control. Int. J. Gen. Syst. 39(2): 165-176 (2010) - [j350]Rafal Dlugosz, Witold Pedrycz:
lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. Neurocomputing 73(7-9): 1222-1234 (2010) - [j349]Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh:
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing 73(13-15): 2464-2477 (2010) - [j348]Witold Pedrycz:
Granular Computing and Human-Centricity in Computational Intelligence. Int. J. Softw. Sci. Comput. Intell. 2(4): 16-31 (2010) - [j347]Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang, Yiyu Yao:
Perspectives on Cognitive Computing and Applications. Int. J. Softw. Sci. Comput. Intell. 2(4): 32-44 (2010) - [j346]Witold Pedrycz:
Human centricity in computing with fuzzy sets: an interpretability quest for higher order granular constructs. J. Ambient Intell. Humaniz. Comput. 1(1): 65-74 (2010) - [j345]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz:
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. Knowl. Based Syst. 23(3): 202-219 (2010) - [j344]Witold Pedrycz:
The development of granular metastructures and their use in a multifaceted representation of data and models. Kybernetes 39(7): 1184-1200 (2010) - [j343]Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Witold Pedrycz, Yan Zhang, Yingshu Li:
A Resilient and Scalable Flocking Scheme in Autonomous Vehicular Networks. Mob. Networks Appl. 15(1): 126-136 (2010) - [j342]Witold Pedrycz, D. J. Lee, Nicolino J. Pizzi:
Representation and classification of high-dimensional biomedical spectral data. Pattern Anal. Appl. 13(4): 423-436 (2010) - [j341]Sushmita Mitra, Witold Pedrycz, Bishal Barman:
Shadowed c-means: Integrating fuzzy and rough clustering. Pattern Recognit. 43(4): 1282-1291 (2010) - [j340]Witold Pedrycz, Andrzej Bargiela:
Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects. Pattern Recognit. Lett. 31(13): 1952-1958 (2010) - [j339]Witold Pedrycz, Vincenzo Loia, Sabrina Senatore:
Fuzzy Clustering With Viewpoints. IEEE Trans. Fuzzy Syst. 18(2): 274-284 (2010) - [j338]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz:
The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. IEEE Trans. Instrum. Meas. 59(3): 604-615 (2010) - [j337]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna:
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. IEEE Trans. Neural Networks 21(6): 961-971 (2010) - [j336]Qinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang:
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization. IEEE Trans. Syst. Man Cybern. Part B 40(1): 137-150 (2010) - [j335]Shuming Wang, Junzo Watada, Witold Pedrycz:
Recourse-Based Facility-Location Problems in Hybrid Uncertain Environment. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1176-1187 (2010) - [j334]Long Chen, C. L. Philip Chen, Witold Pedrycz:
A Gradient-Descent-Based Approach for Transparent Linguistic Interface Generation in Fuzzy Models. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1219-1230 (2010) - [c138]Witold Pedrycz:
Granular computing and human-centricity in computational intelligence. IEEE ICCI 2010: 2 - [c137]Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Hugo de Garis, Zhongzhi Shi, Guoyin Wang, Patrick S. P. Wang, Yiyu Yao:
Perspectives on cognitive computing and applications: Summary of plenary Panel I of IEEE ICCI'10. IEEE ICCI 2010: 8-16 - [c136]Witold Pedrycz:
Collaborative Granular Modeling And Simulation. ECMS 2010: 5-13 - [c135]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. ESANN 2010 - [c134]Ruijun Dong, Witold Pedrycz:
Sparse optimization using a mixed GA-PSO optimization framework. FSKD 2010: 1862-1866 - [c133]Keun Chang Kwak, Witold Pedrycz:
A design of genetically oriented linguistic model with the aid of fuzzy granulation. FUZZ-IEEE 2010: 1-6 - [c132]Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz:
Variance analysis and biomedical pattern classification. FUZZ-IEEE 2010: 1-8 - [c131]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
Possibilistic regression analysis of influential factors in the planning and implementation of occupational health and safety management systems. FUZZ-IEEE 2010: 1-8 - [c130]Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
A Comparative Study of Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution in Problem of Feature Selection through Structure Retention. GEM 2010: 49-54 - [c129]Witold Pedrycz:
CPSCom 2010 Keynote Speech: Witold Pedrycz. GreenCom/CPSCom 2010 - [c128]Witold Pedrycz, Janusz Kacprzyk, Slawomir Zadrozny:
Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. IPMU (2) 2010: 241-250 - [c127]Daniel Graves, Witold Pedrycz:
Proximity fuzzy clustering and its application to time series clustering and prediction. ISDA 2010: 49-54 - [c126]Witold Pedrycz:
Managing Granular Information in the Development of Human-Centric Systems. IUM 2010: 37-38 - [c125]Minghu Ha, Chao Wang, Witold Pedrycz:
The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples. LSMS/ICSEE (2) 2010: 241-249 - [p18]Witold Pedrycz:
Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. Advances in Machine Learning II 2010: 3-21 - [e15]Athanasios V. Vasilakos, Manish Parashar, Stamatis Karnouskos, Witold Pedrycz:
Autonomic Communication. Springer 2010, ISBN 978-0-387-09752-7 [contents] - [e14]Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu:
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4300-0 [contents] - [e13]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence 312, Springer 2010, ISBN 978-3-642-15110-1 [contents]
2000 – 2009
- 2009
- [b6]Xiaodong Liu, Witold Pedrycz:
Axiomatic Fuzzy Set Theory and Its Applications. Studies in Fuzziness and Soft Computing 244, Springer 2009, ISBN 978-3-642-00401-8, pp. 3-489 - [j333]Fusheng Yu, Witold Pedrycz:
The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. Appl. Soft Comput. 9(1): 264-273 (2009) - [j332]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. Appl. Soft Comput. 9(3): 1068-1089 (2009) - [j331]Soowhan Han, Imgeun Lee, Witold Pedrycz:
Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel. Appl. Soft Comput. 9(3): 1090-1096 (2009) - [j330]Witold Pedrycz, Partab Rai:
Experience-consistent modeling: Regression and classification problems. Autom. 45(2): 449-455 (2009) - [j329]Daniel J. Withey, Witold Pedrycz, Zoltan J. Koles:
Dynamic edge tracing: Boundary identification in medical images. Comput. Vis. Image Underst. 113(10): 1039-1052 (2009) - [j328]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz:
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms. Eng. Appl. Artif. Intell. 22(2): 261-271 (2009) - [j327]Witold Pedrycz:
Statistically grounded logic operators in fuzzy sets. Eur. J. Oper. Res. 193(2): 520-529 (2009) - [j326]Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi:
Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3): 4610-4616 (2009) - [j325]Sung-Kwun Oh, Seung-Hyun Jung, Witold Pedrycz:
Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms. Expert Syst. Appl. 36(9): 11641-11651 (2009) - [j324]Minghu Ha, Witold Pedrycz, Lifang Zheng:
The theoretical fundamentals of learning theory based on fuzzy complex random samples. Fuzzy Sets Syst. 160(17): 2429-2441 (2009) - [j323]Xiaofeng Liang, Witold Pedrycz:
Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms. Fuzzy Sets Syst. 160(24): 3475-3502 (2009) - [j322]Mahnhoon Lee, Witold Pedrycz:
The fuzzy C-means algorithm with fuzzy P-mode prototypes for clustering objects having mixed features. Fuzzy Sets Syst. 160(24): 3590-3600 (2009) - [j321]Yingxu Wang, Witold Kinsner, James A. Anderson, Du Zhang, Yiyu Yao, Phillip C.-Y. Sheu, Jeffrey J. P. Tsai, Witold Pedrycz, Jean-Claude Latombe, Lotfi A. Zadeh, Dilip Patel, Christine W. Chan:
A Doctrine of Cognitive Informatics (CI). Fundam. Informaticae 90(3): 203-228 (2009) - [j320]Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing:
The expected value models on Sugeno measure space. Int. J. Approx. Reason. 50(7): 1022-1035 (2009) - [j319]Witold Pedrycz:
From fuzzy sets to shadowed sets: Interpretation and computing. Int. J. Intell. Syst. 24(1): 48-61 (2009) - [j318]Witold Pedrycz:
Metastructural facets of granular computing. Int. J. Knowl. Eng. Soft Data Paradigms 1(1): 11-25 (2009) - [j317]Daniel Graves, Witold Pedrycz:
Fuzzy prediction architecture using recurrent neural networks. Neurocomputing 72(7-9): 1668-1678 (2009) - [j316]Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni:
Using multilayer perceptrons as receptive fields in the design of neural networks. Neurocomputing 72(10-12): 2536-2548 (2009) - [j315]Witold Pedrycz, Rafik A. Aliev:
Logic-oriented neural networks for fuzzy neurocomputing. Neurocomputing 73(1-3): 10-23 (2009) - [j314]Witold Pedrycz:
Hierarchies of Architectures of Collaborative Computational Intelligence. Int. J. Softw. Sci. Comput. Intell. 1(1): 18-31 (2009) - [j313]Minghu Ha, Witold Pedrycz, Jiqiang Chen, Lifang Zheng:
Some theoretical results of learning theory based on random sets in set-valued probability space. Kybernetes 38(3/4): 635-657 (2009) - [j312]Athanasios V. Vasilakos, Witold Pedrycz:
Editorial to the special issue. ACM Trans. Auton. Adapt. Syst. 4(4): 20:1-20:3 (2009) - [j311]Junzo Watada, Shuming Wang, Witold Pedrycz:
Building Confidence-Interval-Based Fuzzy Random Regression Models. IEEE Trans. Fuzzy Syst. 17(6): 1273-1283 (2009) - [j310]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. IEEE Trans. Fuzzy Syst. 17(6): 1310-1323 (2009) - [j309]Shuming Wang, Junzo Watada, Witold Pedrycz:
Value-at-Risk-Based Two-Stage Fuzzy Facility Location Problems. IEEE Trans. Ind. Informatics 5(4): 465-482 (2009) - [j308]Xiaodong Liu, Witold Pedrycz, Tianyou Chai, Mingli Song:
The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets. IEEE Trans. Knowl. Data Eng. 21(3): 443-462 (2009) - [j307]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. IEEE Trans. Neural Networks 20(10): 1604-1616 (2009) - [j306]Witold Pedrycz, Partab Rai:
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Trans. Syst. Man Cybern. Part B 39(4): 834-844 (2009) - [j305]Rafik A. Aliev, Witold Pedrycz:
Fundamentals of a Fuzzy-Logic-Based Generalized Theory of Stability. IEEE Trans. Syst. Man Cybern. Part B 39(4): 971-988 (2009) - [c124]Rafal Dlugosz, Witold Pedrycz:
Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. ESANN 2009 - [c123]Nick J. Pizzi, Witold Pedrycz:
Discriminatory Components for Pattern Classification. IFSA/EUSFLAT Conf. 2009: 748-753 - [c122]Daniel Graves, Witold Pedrycz:
Multivariate Segmentation of Time Series with Differential Evolution. IFSA/EUSFLAT Conf. 2009: 1108-1113 - [c121]Francisco Queiroz, Antonio Braga, Witold Pedrycz:
Sorted Kernel Matrices as Cluster Validity Indexes. IFSA/EUSFLAT Conf. 2009: 1490-1495 - [c120]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
New perspectives and applications of real-time fuzzy regression. FUZZ-IEEE 2009: 1451-1456 - [c119]Keon-Jun Park, Sung-Kwun Oh, Witold Pedrycz:
Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms. FUZZ-IEEE 2009: 2013-2018 - [c118]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz:
Real-time fuzzy switching regression analysis: a convex hull approach. iiWAS 2009: 284-291 - [c117]Witold Pedrycz:
Computational Intelligence - The Quests and Opportunities. IJCCI 2009: 11-11 - [c116]Qinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz:
Kernelized Fuzzy Rough Sets. RSKT 2009: 304-311 - [c115]Shuming Wang, Junzo Watada, Witold Pedrycz:
Fuzzy Random Facility Location Problems with Recourse. SMC 2009: 1846-1851 - [c114]Stuart Harvey Rubin, Witold Pedrycz:
Numeric Data to Information Granules and Computing with Words. SMC 2009: 2972-2978 - [c113]Angelo Ciaramella, Witold Pedrycz, Alfredo Petrosino:
Uninorm Based Fuzzy Network for Tree Data Structures. WILF 2009: 77-84 - [e12]Andrzej Bargiela, Witold Pedrycz:
Human-Centric Information Processing Through Granular Modelling. Studies in Computational Intelligence 182, Springer 2009, ISBN 978-3-540-92915-4 [contents] - [e11]Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz:
Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Studies in Computational Intelligence 201, Springer 2009, ISBN 978-3-642-01081-1 [contents] - [e10]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence 256, Springer 2009, ISBN 978-3-642-04515-8 [contents] - [e9]Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk:
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence 257, Springer 2009, ISBN 978-3-642-04513-4 [contents] - [r1]Witold Pedrycz:
Data and Dimensionality Reduction in Data Analysis and System Modeling. Encyclopedia of Complexity and Systems Science 2009: 1775-1789 - 2008
- [b5]Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi:
The Puzzle of Granular Computing. Studies in Computational Intelligence 138, Springer 2008, ISBN 978-3-540-79863-7, pp. 3-449 [contents] - [j304]Witold Pedrycz, Richard Weber:
Special issue on soft computing for dynamic data mining. Appl. Soft Comput. 8(4): 1281-1282 (2008) - [j303]Rohani Binti Abu Bakar, Junzo Watada, Witold Pedrycz:
DNA approach to solve clustering problem based on a mutual order. Biosyst. 91(1): 1-12 (2008) - [j302]Witold Pedrycz, Partab Rai:
Collaborative clustering with the use of Fuzzy C-Means and its quantification. Fuzzy Sets Syst. 159(18): 2399-2427 (2008) - [j301]Nick J. Pizzi, Witold Pedrycz:
Effective classification using feature selection and fuzzy integration. Fuzzy Sets Syst. 159(21): 2859-2872 (2008) - [j300]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy models using a successive tuning method with a variant identification ratio. Fuzzy Sets Syst. 159(21): 2873-2889 (2008) - [j299]Minghu Ha, Witold Pedrycz, Aiquan Zhang, Yijun Fan:
A Development of Inclusion-degree-based Rough Fuzzy Random Sets. Fundam. Informaticae 86(4): 481-502 (2008) - [j298]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. Int. J. Approx. Reason. 49(3): 631-648 (2008) - [j297]Witold Pedrycz, Partab Rai, Jozef M. Zurada:
Experience-Consistent Modeling for Radial Basis Function Neural Networks. Int. J. Neural Syst. 18(4): 279-292 (2008) - [j296]Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz:
Interpolating support information granules. Neurocomputing 71(13-15): 2433-2445 (2008) - [j295]Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh:
A granular-oriented development of functional radial basis function neural networks. Neurocomputing 72(1-3): 420-435 (2008) - [j294]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 245-274 (2008) - [j293]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. Inf. Softw. Technol. 50(9-10): 912-923 (2008) - [j292]Gabriel Jarillo, Witold Pedrycz, Marek Z. Reformat:
Aggregation of classifiers based on image transformations in biometric face recognition. Mach. Vis. Appl. 19(2): 125-140 (2008) - [j291]Witold Pedrycz, Byoung-Jun Park, Sung-Kwun Oh:
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. Pattern Recognit. 41(12): 3720-3735 (2008) - [j290]Witold Pedrycz, Kaoru Hirota:
A consensus-driven fuzzy clustering. Pattern Recognit. Lett. 29(9): 1333-1343 (2008) - [j289]Witold Pedrycz:
A dynamic data granulation through adjustable fuzzy clustering. Pattern Recognit. Lett. 29(16): 2059-2066 (2008) - [j288]Ikno Kim, Junzo Watada, Witold Pedrycz:
A DNA-based algorithm for arranging weighted cliques. Simul. Model. Pract. Theory 16(10): 1561-1570 (2008) - [j287]Gerardo Canfora, Witold Pedrycz:
Special issue on Software Engineering and Soft Computing. Soft Comput. 12(1): 1-2 (2008) - [j286]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 16(1): 61-72 (2008) - [j285]Andrzej Bargiela, Witold Pedrycz:
Toward a Theory of Granular Computing for Human-Centered Information Processing. IEEE Trans. Fuzzy Syst. 16(2): 320-330 (2008) - [j284]Adam F. Gobi, Witold Pedrycz:
Logic Minimization as an Efficient Means of Fuzzy Structure Discovery. IEEE Trans. Fuzzy Syst. 16(3): 553-566 (2008) - [j283]Witold Pedrycz, Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri:
Fuzzy Clustering With Partial Supervision in Organization and Classification of Digital Images. IEEE Trans. Fuzzy Syst. 16(4): 1008-1026 (2008) - [j282]Witold Pedrycz, José Valente de Oliveira:
A Development of Fuzzy Encoding and Decoding Through Fuzzy Clustering. IEEE Trans. Instrum. Meas. 57(4): 829-837 (2008) - [j281]Witold Pedrycz, Partab Rai:
A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1062-1072 (2008) - [j280]Jonghwan Park, Moongu Jeon, Witold Pedrycz:
Score-Based Resampling Method for Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1347-1355 (2008) - [c112]Raimund Moser, Witold Pedrycz, Giancarlo Succi:
Analysis of the reliability of a subset of change metrics for defect prediction. ESEM 2008: 309-311 - [c111]Nicolino J. Pizzi, Witold Pedrycz:
An analysis of potentially imprecise class labels using a fuzzy similarity measure. FUZZ-IEEE 2008: 667-672 - [c110]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981 - [c109]Witold Pedrycz:
Concepts of evolvable and knowledge-consistent fuzzy models. GEFS 2008: 3 - [c108]Raimund Moser, Witold Pedrycz, Giancarlo Succi:
A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction. ICSE 2008: 181-190 - [c107]Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
A Model to Identify Refactoring Effort during Maintenance by Mining Source Code Repositories. PROFES 2008: 360-370 - [c106]Hamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz:
Phase Transition in SONFIS and SORST. RSCTC 2008: 339-348 - [c105]Bishal Barman, Sushmita Mitra, Witold Pedrycz:
Shadowed Clustering for Speech Data and Medical Image Segmentation. RSCTC 2008: 475-484 - [c104]Witold Pedrycz:
Granular Computing in Multi-agent Systems. RSKT 2008: 3-17 - [c103]Seyed Koosha Golmohammadi, Marek Z. Reformat, Witold Pedrycz:
Fuzziness in the Semantic Web: Survey and Future Directions. SEKE 2008: 643-648 - [c102]Stuart H. Rubin, Gordon K. Lee, Witold Pedrycz, Shu-Ching Chen:
Modeling human cognition using a transformational knowledge architecture. SoSE 2008: 1-6 - [c101]Witold Pedrycz:
Collaborative Architectures of Fuzzy Modeling. WCCI 2008: 117-139 - [p17]Witold Pedrycz:
Neural Network Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008 - [p16]James F. Peters, Witold Pedrycz:
Computational Intelligence. Wiley Encyclopedia of Computer Science and Engineering 2008 - [p15]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Engineering Evolutionary Intelligent Systems 2008: 23-57 - [p14]Witold Pedrycz:
A Quest for Adaptable and Interpretable Architectures of Computational Intelligence. Computational Intelligence Paradigms 2008: 25-49 - [p13]Sung-Kwun Oh, Witold Pedrycz:
Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Engineering Evolutionary Intelligent Systems 2008: 59-108 - [p12]Witold Pedrycz, Nikhil Ichalkaranje, Gloria E. Phillips-Wren, Lakhmi C. Jain:
Introduction to Computational Intelligence for Decision Making. Intelligent Decision Making: An AI-Based Approach 2008: 79-96 - [p11]Witold Pedrycz:
Semantics and Perception of Fuzzy Sets and Fuzzy Mappings. Computational Intelligence: A Compendium 2008: 597-639 - [p10]Toshihiro Kaino, Kaoru Hirota, Witold Pedrycz:
Fuzzy Sensitivity Analysis and Its Application. Fuzzy Engineering Economics with Applications 2008: 183-216 - [e8]Emilio Corchado, Ajith Abraham, Witold Pedrycz:
Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings. Lecture Notes in Computer Science 5271, Springer 2008, ISBN 978-3-540-87655-7 [contents] - [e7]Ajith Abraham, Crina Grosan, Witold Pedrycz:
Engineering Evolutionary Intelligent Systems. Studies in Computational Intelligence 82, Springer 2008, ISBN 978-3-540-75395-7 [contents] - [e6]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Soft Computing for Hybrid Intelligent Systems. Studies in Computational Intelligence 154, Springer 2008, ISBN 978-3-540-70811-7 [contents] - [i2]Hamed Owladeghaffari, Kourosh Shahriar, Witold Pedrycz:
Graphical Estimation of Permeability Using RST&NFIS. CoRR abs/0804.0353 (2008) - [i1]Hamed Owladeghaffari, Witold Pedrycz, Mostafa Sharifzadeh:
Modeling of Social Transitions Using Intelligent Systems. CoRR abs/0810.2046 (2008) - 2007
- [b4]Witold Pedrycz, Fernando A. C. Gomide:
Fuzzy Systems Engineering - Toward Human-Centric Computing. Wiley 2007, ISBN 978-0-471-78857-7, pp. I-XXII, 1-526 - [j279]Xiaodong Liu, Witold Pedrycz:
The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic. Appl. Soft Comput. 7(1): 325-342 (2007) - [j278]Witold Pedrycz, Kaoru Hirota:
Forming consensus in the networks of knowledge. Eng. Appl. Artif. Intell. 20(5): 657-666 (2007) - [j277]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. Expert Syst. Appl. 33(4): 830-846 (2007) - [j276]Yongming Li, Witold Pedrycz:
Minimization of lattice finite automata and its application to the decomposition of lattice languages. Fuzzy Sets Syst. 158(13): 1423-1436 (2007) - [j275]Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima:
Multiple regression with fuzzy data. Fuzzy Sets Syst. 158(19): 2169-2188 (2007) - [j274]Adam F. Gobi, Witold Pedrycz:
Fuzzy modelling through logic optimization. Int. J. Approx. Reason. 45(3): 488-510 (2007) - [j273]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa:
Interactive knowledge management for agent-assisted web navigation. Int. J. Intell. Syst. 22(10): 1101-1122 (2007) - [j272]Witold Pedrycz:
Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. Neurocomputing 70(7-9): 1403-1413 (2007) - [j271]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70(16-18): 2783-2798 (2007) - [j270]Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel:
Regranulation: A granular algorithm enabling communication between granular worlds. Inf. Sci. 177(2): 408-435 (2007) - [j269]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Identification of fuzzy systems by means of genetic optimization and data granulation. J. Intell. Fuzzy Syst. 18(1): 31-41 (2007) - [j268]Euntai Kim, Witold Pedrycz:
Information granulation as a basis of fuzzy modeling. J. Intell. Fuzzy Syst. 18(2): 123-148 (2007) - [j267]Madhura Purnaprajna, Marek Z. Reformat, Witold Pedrycz:
Genetic algorithms for hardware-software partitioning and optimal resource allocation. J. Syst. Archit. 53(7): 339-354 (2007) - [j266]Giovanni Bortolan, Witold Pedrycz:
Hyperbox classifiers for arrhythmia classification. Kybernetes 36(3/4): 531-547 (2007) - [j265]Witold Pedrycz:
Reconciliation of perception of information granules and granular mappings. Kybernetes 36(5/6): 709-720 (2007) - [j264]Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo:
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognit. 40(1): 19-32 (2007) - [j263]Witold Pedrycz, Kaoru Hirota:
Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation-degranulation information processing. Signal Process. 87(9): 2061-2074 (2007) - [j262]Keon-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method. Simul. Model. Pract. Theory 15(9): 1128-1145 (2007) - [j261]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park:
Structural developments of fuzzy systems with the aid of information granulation. Simul. Model. Pract. Theory 15(10): 1292-1309 (2007) - [j260]Witold Pedrycz, Kaoru Hirota:
Uninorm-Based Logic Neurons as Adaptive and Interpretable Processing Constructs. Soft Comput. 11(1): 41-52 (2007) - [j259]Eduardo Masato Iyoda, Takushi Shibata, Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Image Compression and Reconstruction Using pit-Sigma Neural Networks. Soft Comput. 11(1): 53-61 (2007) - [j258]Paulo A. P. Fazendeiro, José Valente de Oliveira, Witold Pedrycz:
A Multiobjective Design of a Patient and Anaesthetist-Friendly Neuromuscular Blockade Controller. IEEE Trans. Biomed. Eng. 54(9): 1667-1678 (2007) - [j257]Witold Pedrycz, Keun Chang Kwak:
The Development of Incremental Models. IEEE Trans. Fuzzy Syst. 15(3): 507-518 (2007) - [j256]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore:
Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering. IEEE Trans. Fuzzy Syst. 15(6): 1294-1312 (2007) - [j255]Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh:
Genetic Optimization of Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 54(4): 2219-2238 (2007) - [j254]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Fuzzy Relation-Based Neural Networks and Their Hybrid Identification. IEEE Trans. Instrum. Meas. 56(6): 2522-2537 (2007) - [j253]Keun Chang Kwak, Witold Pedrycz:
Face Recognition Using an Enhanced Independent Component Analysis Approach. IEEE Trans. Neural Networks 18(2): 530-541 (2007) - [j252]Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz:
A Novel Framework for Imputation of Missing Values in Databases. IEEE Trans. Syst. Man Cybern. Part A 37(5): 692-709 (2007) - [c100]Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz:
Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673 - [c99]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz:
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. ESANN 2007: 151-156 - [c98]Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
Effort Prediction in Iterative Software Development Processes - Incremental Versus Global Prediction Models. ESEM 2007: 344-353 - [c97]M. Hadi Mashinchi, M. Reza Mashinchi, Siti Mariyam Hj. Shamsuddin, Witold Pedrycz:
Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks. GEM 2007: 213-212 - [c96]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Type-2 Fuzzy Logic: Theory and Applications. GrC 2007: 145-150 - [c95]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. International Conference on Computational Science (4) 2007: 1108-1115 - [c94]Keon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang:
Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. ICCSA (3) 2007: 1076-1085 - [c93]Witold Pedrycz:
Distributed and Collaborative Soft Computing: An Emerging Development Environment. ICCTA 2007: 231-241 - [c92]Yi-hua Zhu, Witold Pedrycz:
Applying Genetic Algorithms to Efficiently Locate Mobile Terminals in Personal Communication Networks. ICNC (4) 2007: 302-306 - [c91]Raimund Moser, Pekka Abrahamsson, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi:
A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team. CEE-SET 2007: 252-266 - [c90]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589 - [c89]Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Hyun-Ki Kim:
Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. ISNN (2) 2007: 206-215 - [c88]Raimund Moser, Witold Pedrycz, Giancarlo Succi:
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. SEKE 2007: 519-522 - [c87]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri:
The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76 - [p9]Soowhan Han, Sungdae Park, Witold Pedrycz:
MFCM for Nonlinear Blind Channel Equalization. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 88-98 - [p8]Daniel Graves, Witold Pedrycz:
Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-Based FCM: A Comparative Study. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 140-149 - [p7]Mark D. Alexiuk, Nick J. Pizzi, Witold Pedrycz:
Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 746-755 - [p6]Witold Pedrycz:
Knowledge-Based Clustering in Computational Intelligence. Challenges for Computational Intelligence 2007: 317-341 - [p5]Witold Pedrycz:
Hybridization Schemes in Architectures of Computational Intelligence. Hybrid Intelligent Systems 2007: 3-20 - [e5]Oscar Castillo, Patricia Melin, Oscar Montiel, Roberto Sepúlveda, Witold Pedrycz, Janusz Kacprzyk:
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Selection of Papers from IFSA 2007. Advances in Soft Computing 42, Springer 2007, ISBN 978-3-540-72433-9 [contents] - [e4]Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk, Witold Pedrycz:
Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings. Lecture Notes in Computer Science 4529, Springer 2007, ISBN 978-3-540-72917-4 [contents] - [e3]Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, ISBN 978-3-540-72529-9 [contents] - [e2]Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz:
Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007. Advances in Soft Computing 41, Springer 2007, ISBN 978-3-540-72431-5 [contents] - [e1]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz:
Hybrid Intelligent Systems - Analysis and Design. Studies in Fuzziness and Soft Computing 208, 2007, ISBN 978-3-540-37419-0 [contents] - 2006
- [j251]Abdelhamid Bouchachia, Witold Pedrycz:
Data Clustering with Partial Supervision. Data Min. Knowl. Discov. 12(1): 47-78 (2006) - [j250]Abdelhamid Bouchachia, Witold Pedrycz:
Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets Syst. 157(13): 1733-1759 (2006) - [j249]Witold Pedrycz, Keun Chang Kwak:
Boosting of granular models. Fuzzy Sets Syst. 157(22): 2934-2953 (2006) - [j248]Adam F. Gobi, Witold Pedrycz:
The potential of fuzzy neural networks in the realization of approximate reasoning engines. Fuzzy Sets Syst. 157(22): 2954-2973 (2006) - [j247]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering. Intell. Autom. Soft Comput. 12(2): 189-209 (2006) - [j246]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola:
Fuzzy relational neural network. Int. J. Approx. Reason. 41(2): 146-163 (2006) - [j245]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method. Int. J. Approx. Reason. 43(1): 26-58 (2006) - [j244]In-Tae Lee, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz:
Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process. Int. J. Fuzzy Log. Intell. Syst. 6(1): 33-38 (2006) - [j243]Xiaofeng Liang, Witold Pedrycz:
Fuzzy logic-based networks: A study in logic data interpretation. Int. J. Intell. Syst. 21(12): 1249-1267 (2006) - [j242]Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz:
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputing 69(13-15): 1570-1581 (2006) - [j241]Marco Ronchetti, Giancarlo Succi, Witold Pedrycz, Barbara Russo:
Early estimation of software size in object-oriented environments a case study in a CMM level 3 software firm. Inf. Sci. 176(5): 475-489 (2006) - [j240]Hajime Nobuhara, Witold Pedrycz, Salvatore Sessa, Kaoru Hirota:
A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations. Inf. Sci. 176(17): 2526-2552 (2006) - [j239]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh:
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Inf. Sci. 176(23): 3490-3519 (2006) - [j238]Andrea Janes, Marco Scotto, Witold Pedrycz, Barbara Russo, Milorad Stefanovic, Giancarlo Succi:
Identification of defect-prone classes in telecommunication software systems using design metrics. Inf. Sci. 176(24): 3711-3734 (2006) - [j237]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. J. Adv. Comput. Intell. Intell. Informatics 10(1): 35-49 (2006) - [j236]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa:
Web navigation support by means of proximity-driven assistant agents. J. Assoc. Inf. Sci. Technol. 57(4): 515-527 (2006) - [j235]Sung-Kwun Oh, Witold Pedrycz:
Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms. J. Frankl. Inst. 343(2): 125-136 (2006) - [j234]Witold Pedrycz:
Quantitative logic-based framework for agile methodologies. J. Syst. Archit. 52(11): 700-707 (2006) - [j233]Gabriel Alvarado, Witold Pedrycz, Marek Z. Reformat, Keun Chang Kwak:
Deterioration of visual information in face classification using Eigenfaces and Fisherfaces. Mach. Vis. Appl. 17(1): 68-82 (2006) - [j232]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neurons as neurofuzzy processing units. Neural Comput. Appl. 15(3-4): 310-327 (2006) - [j231]Sushmita Mitra, Witold Pedrycz:
Special Issue on Bioinformatics. Pattern Recognit. 39(12): 2265-2266 (2006) - [j230]Sung-Kwun Oh, Witold Pedrycz:
Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simul. Model. Pract. Theory 14(5): 597-613 (2006) - [j229]Yongming Li, Witold Pedrycz:
The equivalence between fuzzy Mealy and fuzzy Moore machines. Soft Comput. 10(10): 953-959 (2006) - [j228]Adam Gacek, Witold Pedrycz:
A Granular Description of ECG Signals. IEEE Trans. Biomed. Eng. 53(10): 1972-1982 (2006) - [j227]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(3): 688-703 (2006) - [j226]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Genetically optimized fuzzy polynomial neural networks. IEEE Trans. Fuzzy Syst. 14(1): 125-144 (2006) - [j225]Witold Pedrycz:
Logic-Based Fuzzy Neurocomputing With Unineurons. IEEE Trans. Fuzzy Syst. 14(6): 860-873 (2006) - [j224]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks. IEEE Trans. Ind. Electron. 53(4): 1309-1321 (2006) - [j223]Witold Pedrycz, Marek Z. Reformat, Kuwen Li:
OR/AND neurons and the development of interpretable logic models. IEEE Trans. Neural Networks 17(3): 636-658 (2006) - [j222]Witold Pedrycz, Keun Chang Kwak:
Linguistic models as a framework of user-centric system modeling. IEEE Trans. Syst. Man Cybern. Part A 36(4): 727-745 (2006) - [j221]Sushmita Mitra, Haider Banka, Witold Pedrycz:
Rough-Fuzzy Collaborative Clustering. IEEE Trans. Syst. Man Cybern. Part B 36(4): 795-805 (2006) - [c86]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. Australian Conference on Artificial Intelligence 2006: 100-109 - [c85]Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz:
Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726 - [c84]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Evolutionary Design of IG_gHSOFPNN with the aid of Information Granulation. FUZZ-IEEE 2006: 990-996 - [c83]Andrzej Bargiela, Witold Pedrycz:
The roots of granular computing. GrC 2006: 806-809 - [c82]Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz:
Interpolating Support Information Granules. ICANN (2) 2006: 270-281 - [c81]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz:
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. ISNN (1) 2006: 786-791 - [c80]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. ISNN (2) 2006: 815-820 - [c79]Sung-Kwun Oh, Witold Pedrycz, Wan-Su Kim, Hyun-Ki Kim:
GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. PRICAI 2006: 834-838 - [c78]Wladyslaw Homenda, Witold Pedrycz:
Balanced Fuzzy Gates. RSCTC 2006: 107-116 - [c77]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. RSCTC 2006: 467-476 - [c76]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. RSCTC 2006: 477-486 - [c75]Tomasz Talaska, Ryszard Wojtyna, Rafal Dlugosz, Krzysztof Iniewski, Witold Pedrycz:
Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. SiPS 2006: 416-421 - [c74]Long Chen, Witold Pedrycz, C. L. Philip Chen:
Computational Intelligence Techniques for Building Transparent Construction Performance Models. SMC 2006: 1166-1171 - 2005
- [b3]Witold Pedrycz:
Knowledge-based clustering - from data to information granules. Wiley 2005, ISBN 978-0-471-46966-7, pp. I-XVII, 1-316 - [j220]Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa, Witold Pedrycz:
Efficient decomposition methods of fuzzy relation and their application to image decomposition. Appl. Soft Comput. 5(4): 399-408 (2005) - [j219]Giancarlo Succi, Witold Pedrycz, Snezana Djokic, Paolo Zuliani, Barbara Russo:
An Empirical Exploration of the Distributions of the Chidamber and Kemerer Object-Oriented Metrics Suite. Empir. Softw. Eng. 10(1): 81-104 (2005) - [j218]Hajime Nobuhara, Kaoru Hirota, Ferdinando Di Martino, Witold Pedrycz, Salvatore Sessa:
Fuzzy Relation Equations for Compression/Decompression Processes of Colour Images in the RGB and YUV Colour Spaces. Fuzzy Optim. Decis. Mak. 4(3): 235-246 (2005) - [j217]Witold Pedrycz, Marek Z. Reformat:
Genetically optimized logic models. Fuzzy Sets Syst. 150(2): 351-371 (2005) - [j216]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
The genetic development of ordinal sums. Fuzzy Sets Syst. 151(2): 303-325 (2005) - [j215]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat:
Genetic learning of fuzzy cognitive maps. Fuzzy Sets Syst. 153(3): 371-401 (2005) - [j214]Yongming Li, Witold Pedrycz:
Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids. Fuzzy Sets Syst. 156(1): 68-92 (2005) - [j213]Kaori Yoshida, Witold Pedrycz:
Guest Editorial - Special issue: Recent developments in hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 2(4): 235-236 (2005) - [j212]Yongming Li, Dechao Li, Witold Pedrycz, Jingjie Wu:
An approach to measure the robustness of fuzzy reasoning. Int. J. Intell. Syst. 20(4): 393-413 (2005) - [j211]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. Neurocomputing 64: 397-431 (2005) - [j210]Wladyslaw Homenda, Witold Pedrycz:
Balanced fuzzy computing unit. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13(2): 117-138 (2005) - [j209]Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, Hiroshi Maeda:
Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters. J. Adv. Comput. Intell. Intell. Informatics 9(6): 643-653 (2005) - [j208]Witold Pedrycz, Giancarlo Succi:
Genetic granular classifiers in modeling software quality. J. Syst. Softw. 76(3): 277-285 (2005) - [j207]Soowhan Han, Witold Pedrycz, Chang-Wook Han:
Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing. Math. Comput. Model. 41(6-7): 697-709 (2005) - [j206]Keun Chang Kwak, Witold Pedrycz:
Face recognition using a fuzzy fisherface classifier. Pattern Recognit. 38(10): 1717-1732 (2005) - [j205]Keun Chang Kwak, Witold Pedrycz:
Face recognition: A study in information fusion using fuzzy integral. Pattern Recognit. Lett. 26(6): 719-733 (2005) - [j204]Moongu Jeon, Murray E. Alexander, Witold Pedrycz, Nicolino J. Pizzi:
Unsupervised hierarchical image segmentation with level set and additive operator splitting. Pattern Recognit. Lett. 26(10): 1461-1469 (2005) - [j203]Witold Pedrycz:
Interpretation of clusters in the framework of shadowed sets. Pattern Recognit. Lett. 26(15): 2439-2449 (2005) - [j202]Witold Pedrycz, Athanasios V. Vasilakos, M. Feroldi:
Special issue on soft computing applications to CDMA power control optimization. Soft Comput. 9(2): 67 (2005) - [j201]Andrzej Bargiela, Witold Pedrycz:
A model of granular data: a design problem with the Tchebyschev FCM. Soft Comput. 9(3): 155-163 (2005) - [j200]Marco Painho, Athanasios V. Vasilakos, Fernando Bação, Witold Pedrycz:
Exploring spatial data through computational intelligence: a joint perspective. Soft Comput. 9(5): 326-331 (2005) - [j199]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Relational image compression: optimizations through the design of fuzzy coders and YUV color space. Soft Comput. 9(6): 471-479 (2005) - [j198]De-Qiang Li, Witold Pedrycz, Nicolino J. Pizzi:
Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification. IEEE Trans. Biomed. Eng. 52(6): 1132-1139 (2005) - [j197]Andrzej Bargiela, Witold Pedrycz:
Granular mappings. IEEE Trans. Syst. Man Cybern. Part A 35(2): 292-297 (2005) - [j196]Witold Pedrycz, Zenon A. Sosnowski:
Genetically optimized fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part B 35(3): 633-641 (2005) - [j195]Witold Pedrycz, Zenon A. Sosnowski:
C-fuzzy decision trees. IEEE Trans. Syst. Man Cybern. Part C 35(4): 498-511 (2005) - [c73]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. Australian Conference on Artificial Intelligence 2005: 1142-1145 - [c72]Keun Chang Kwak, Witold Pedrycz, Myung-Geun Chun:
Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models. FSKD (2) 2005: 514-523 - [c71]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat:
Evolutionary Development of Fuzzy Cognitive Maps. FUZZ-IEEE 2005: 619-624 - [c70]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yong-Kab Kim:
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. International Conference on Computational Science (1) 2005: 792-797 - [c69]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. International Conference on Computational Science (1) 2005: 798-803 - [c68]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. International Conference on Computational Science (3) 2005: 1100-1103 - [c67]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) 2005: 887-895 - [c66]Witold Pedrycz:
Granular Computing in Knowledge Integration and Reuse. IRI 2005 - [c65]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. IWANN 2005: 407-415 - [c64]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee:
IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. IWANN 2005: 416-423 - [c63]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. MDAI 2005: 316-327 - [c62]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz:
A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. MDAI 2005: 328-337 - [c61]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345 - [c60]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. MDAI 2005: 346-353 - [c59]Sushmita Mitra, Haider Banka, Witold Pedrycz:
Collaborative Rough Clustering. PReMI 2005: 768-773 - [c58]Witold Pedrycz:
Granular Computing with Shadowed Sets. RSFDGrC (1) 2005: 23-32 - [c57]Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
User-Driven Fuzzy Clustering: On the Road to Semantic Classification. RSFDGrC (1) 2005: 421-430 - [c56]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri:
OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. WILF 2005: 188-194 - [c55]Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz:
Granular Regression. WIRN/NAIS 2005: 147-156 - [p4]Witold Pedrycz, Zenon A. Sosnowski:
Genetic BDD-oriented Pattern Classifiers. Information Processing and Security Systems 2005: 257-268 - [p3]Wladyslaw Homenda, Witold Pedrycz:
Symmetrization Of Fuzzy Operators: Notes On Data Aggregation. Computational Intelligence for Modelling and Prediction 2005: 1-17 - [p2]Hajime Nobuhara, Eduardo Masato Iyoda, Kaoru Hirota, Witold Pedrycz:
Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets. Computational Intelligence for Modelling and Prediction 2005: 163-177 - 2004
- [j194]Sung-Kwun Oh, Witold Pedrycz:
A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. Adv. Eng. Informatics 18(1): 29-39 (2004) - [j193]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Genetic design of feature spaces for pattern classifiers. Artif. Intell. Medicine 32(2): 115-125 (2004) - [j192]Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim:
The Genetic Design Of Hybrid Fuzzy Controllers. Cybern. Syst. 35(4): 333-361 (2004) - [j191]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn:
Parameter estimation of fuzzy controller and its application to inverted pendulum. Eng. Appl. Artif. Intell. 17(1): 37-60 (2004) - [j190]Witold Pedrycz:
Logic-driven fuzzy modeling with fuzzy multiplexers. Eng. Appl. Artif. Intell. 17(4): 383-391 (2004) - [j189]Witold Pedrycz, Marek Z. Reformat, Chang-Wook Han:
Cascade Architectures of Fuzzy Neural Networks. Fuzzy Optim. Decis. Mak. 3(1): 5-37 (2004) - [j188]Sung-Kwun Oh, Witold Pedrycz:
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. Fuzzy Sets Syst. 142(2): 163-198 (2004) - [j187]Witold Pedrycz, Mehmet Aksit:
Editorial. Fuzzy Sets Syst. 145(1): 1-2 (2004) - [j186]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Building a software experience factory using granular-based models. Fuzzy Sets Syst. 145(1): 111-139 (2004) - [j185]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets Syst. 145(1): 165-181 (2004) - [j184]Witold Pedrycz, Vincenzo Loia, Sabrina Senatore:
P-FCM: a proximity -- based fuzzy clustering. Fuzzy Sets Syst. 148(1): 21-41 (2004) - [j183]Witold Pedrycz:
Logic-Oriented Fuzzy Neural Networks. Int. J. Hybrid Intell. Syst. 1(1): 3-11 (2004) - [j182]Witold Pedrycz:
Associations and rules in data mining: A link analysis. Int. J. Intell. Syst. 19(7): 653-670 (2004) - [j181]Pawel Brzeminski, Witold Pedrycz:
Textual-Based Clustering Of Web Documents. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(6): 715-744 (2004) - [j180]Keun Chang Kwak, Witold Pedrycz, Hyoun-Joo Go, Myung-Geun Chun:
Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition. J. Adv. Comput. Intell. Intell. Informatics 8(4): 379-384 (2004) - [j179]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. Knowl. Based Syst. 17(1): 1-13 (2004) - [j178]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
An inclusion/exclusion fuzzy hyperbox classifier. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 91-98 (2004) - [j177]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Relation-based neurofuzzy networks with evolutionary data granulation. Math. Comput. Model. 40(7-8): 891-921 (2004) - [j176]Witold Pedrycz, George Vukovich:
Fuzzy clustering with supervision. Pattern Recognit. 37(7): 1339-1349 (2004) - [j175]Witold Pedrycz:
Fuzzy clustering with a knowledge-based guidance. Pattern Recognit. Lett. 25(4): 469-480 (2004) - [j174]Witold Pedrycz, George Vukovich:
Noninvasive data analysis: a web of information granules. Soft Comput. 8(10): 657-662 (2004) - [j173]Hajime Nobuhara, Kaoru Hirota, Witold Pedrycz, Salvatore Sessa:
Two iterative methods of decomposition of a fuzzy relation for image compression/decompression processing. Soft Comput. 8(10): 698-704 (2004) - [j172]Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota:
Granular prototyping in fuzzy clustering. IEEE Trans. Fuzzy Syst. 12(5): 697-709 (2004) - [j171]Witold Pedrycz:
Heterogeneous fuzzy logic networks: fundamentals and development studies. IEEE Trans. Neural Networks 15(6): 1466-1481 (2004) - [j170]Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos:
Guest Editorial Special Issue on Computational Intelligence in Telecommunications Networks and Internet Services - Part III. IEEE Trans. Syst. Man Cybern. Part C 34(1): 1-3 (2004) - [j169]Keun Chang Kwak, Witold Pedrycz:
Face recognition using fuzzy Integral and wavelet decomposition method. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1666-1675 (2004) - [c54]Madhura Purnaprajna, Marek Z. Reformat, Witold Pedrycz:
Genetic Algorithms in Hardware-Software Partitioning. ERSA 2004: 123-129 - [c53]Andrés Dorado, Divna Djordjevic, Ebroul Izquierdo, Witold Pedrycz:
Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback. EWIMT 2004 - [c52]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa:
Proactive Utilization of Proximity-Oriented Information Inside an Agent-based Framework. FLAIRS 2004: 436-441 - [c51]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
Ordinal sums by using genetic algorithms. FUZZ-IEEE 2004: 641-646 - [c50]Witold Pedrycz:
Granular Modeling: The Synergy of Granular Computing and Fuzzy Logic. HIS 2004: 4 - [c49]Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee:
Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. International Conference on Computational Science 2004: 179-187 - [c48]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science 2004: 188-195 - [c47]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. ISNN (1) 2004: 156-161 - [c46]Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. ISNN (1) 2004: 162-167 - [c45]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim:
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. ISNN (1) 2004: 174-179 - [c44]Edyta Mrówka, Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
Dimensionality Reduction for Content-Based Image Classification. IV 2004: 435-438 - [c43]Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz:
Medical Diagnosis System Using the Intelligent Fuzzy Systems. KES 2004: 807-826 - [c42]Witold Pedrycz:
Granular Computing: An Overview. WSC 2004: 19-34 - [p1]Witold Pedrycz:
Knowledge-Based Networking in GranularWorlds. Rough-Neural Computing: Techniques for Computing with Words 2004: 109-138 - 2003
- [j168]Roelof K. Brouwer, Witold Pedrycz:
Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. 3(1): 23-36 (2003) - [j167]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Polynomial neural networks architecture: analysis and design. Comput. Electr. Eng. 29(6): 703-725 (2003) - [j166]Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, Barbara Russo:
An Investigation on the Occurrence of Service Requests in Commercial Software Applications. Empir. Softw. Eng. 8(2): 197-215 (2003) - [j165]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Hybrid identification in fuzzy-neural networks. Fuzzy Sets Syst. 138(2): 399-426 (2003) - [j164]Witold Pedrycz, Heloisa de Arruda Camargo:
Fuzzy timed Petri nets. Fuzzy Sets Syst. 140(2): 301-330 (2003) - [j163]Reza Langari, Witold Pedrycz, Shehu Farinwata:
Guest-editorial. Integr. Comput. Aided Eng. 10(4): 303-304 (2003) - [j162]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore:
P-FCM: a proximity-based fuzzy clustering for user-centered web applications. Int. J. Approx. Reason. 34(2-3): 121-144 (2003) - [j161]Sung-Kwun Oh, Witold Pedrycz:
Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. Int. J. Gen. Syst. 32(3): 237-250 (2003) - [j160]Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi:
N4: computing with neural receptive fields. Neurocomputing 55(1-2): 383-401 (2003) - [j159]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence. Inf. Softw. Technol. 45(7): 405-417 (2003) - [j158]Witold Pedrycz, Andrzej Bargiela:
Fuzzy fractal dimensions and fuzzy modeling. Inf. Sci. 153: 199-216 (2003) - [j157]Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, James Miller:
Practical assessment of the models for identification of defect-prone classes in object-oriented commercial systems using design metrics. J. Syst. Softw. 65(1): 1-12 (2003) - [j156]James F. Peters, Zbigniew Suraj, S. Shan, Sheela Ramanna, Witold Pedrycz, Nicolino J. Pizzi:
Classification of meteorological volumetric radar data using rough set methods. Pattern Recognit. Lett. 24(6): 911-920 (2003) - [j155]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation. Simul. Model. Pract. Theory 11(7-8): 627-642 (2003) - [j154]Shounak Roychowdhury, Witold Pedrycz:
An alternative characterization of fuzzy complement functional. Soft Comput. 7(8): 563-565 (2003) - [j153]Roelof K. Brouwer, Witold Pedrycz:
Set oriented mappings on neural networks. Soft Comput. 8(1): 28-37 (2003) - [j152]Adam Gacek, Witold Pedrycz:
A genetic segmentation of ECG signals. IEEE Trans. Biomed. Eng. 50(10): 1203-1208 (2003) - [j151]Witold Pedrycz, Marek Z. Reformat:
Evolutionary fuzzy modeling. IEEE Trans. Fuzzy Syst. 11(5): 652-665 (2003) - [j150]Andrzej Bargiela, Witold Pedrycz:
Recursive information granulation: aggregation and interpretation issues. IEEE Trans. Syst. Man Cybern. Part B 33(1): 96-112 (2003) - [j149]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 33(2): 271-277 (2003) - [j148]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
A study of uncertain state estimation. IEEE Trans. Syst. Man Cybern. Part A 33(3): 288-301 (2003) - [j147]Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos:
Special issue on computational intelligence in telecommunications networks and Internet services. I. IEEE Trans. Syst. Man Cybern. Part C 33(3): 294-296 (2003) - [j146]Athanasios V. Vasilakos, Marios P. Saltouros, A. F. Atlassis, Witold Pedrycz:
Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. IEEE Trans. Syst. Man Cybern. Part C 33(3): 297-312 (2003) - [j145]Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos:
Guest Editorial - Special issue on computational intelligence in telecommunications networks and internet services - Part II. IEEE Trans. Syst. Man Cybern. Part C 33(4): 429-431 (2003) - [c41]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore:
Proximity fuzzy clustering for web context analysis. EUSFLAT Conf. 2003: 59-62 - [c40]Xiaodong Liu, Witold Pedrycz, Qingling Zhang:
Axiomatics fuzzy sets logic. FUZZ-IEEE 2003: 55-60 - [c39]Abdelhamid Bouchachia, Witold Pedrycz:
A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA 2003: 328-337 - [c38]Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka:
Exclusion/Inclusion Fuzzy Classification Network. KES 2003: 1236-1241 - [c37]Roelof K. Brouwer, Witold Pedrycz:
A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence 2003: 112-117 - [c36]Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn:
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. RSFDGrC 2003: 437-444 - [c35]Norikazu Ikoma, Witold Pedrycz, Keiko Baba, Takahiro Hyakudome, Yosuke Matsumoto, Nagatomo Nakamura, Hiroshi Maeda:
User type identification by mixing weight estimation of mixture models based on state space modeling. VECIMS 2003: 20-25 - [c34]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio Di Nola:
Fuzzy Relational Neural Network for Data Analysis. WILF 2003: 103-109 - [c33]Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz:
Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. WILF 2003: 127-132 - 2002
- [j144]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park:
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. Adv. Eng. Informatics 16(4): 247-263 (2002) - [j143]Giovanni Bortolan, Witold Pedrycz:
An interactive framework for an analysis of ECG signals. Artif. Intell. Medicine 24(2): 109-132 (2002) - [j142]Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn:
Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2(1): 1-10 (2002) - [j141]Kaoru Hirota, Witold Pedrycz:
Data compression with fuzzy relational equations. Fuzzy Sets Syst. 126(3): 325-335 (2002) - [j140]Shounak Roychowdhury, Witold Pedrycz:
Modeling temporal functions with granular regression and fuzzy rules. Fuzzy Sets Syst. 126(3): 377-387 (2002) - [j139]Giovanni Bortolan, Witold Pedrycz:
Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets. Fuzzy Sets Syst. 128(3): 389-412 (2002) - [j138]Witold Pedrycz, George Vukovich:
Stability of Information Granulation and Information Granules. Int. J. Comput. Intell. Appl. 2(2): 221-238 (2002) - [j137]Vincenzo Loia, Witold Pedrycz, Salvatore Sessa:
Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations. Int. J. Image Graph. 2(4): 617-632 (2002) - [j136]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17(1): 77-103 (2002) - [j135]Witold Pedrycz, George Vukovich:
Granular computing with shadowed sets. Int. J. Intell. Syst. 17(2): 173-197 (2002) - [j134]Witold Pedrycz:
Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0. Neurocomputing 47(1-4): 299-300 (2002) - [j133]Witold Pedrycz:
Advances in Kernel Methods. Support Vector Learning, B. Scholkopf, C.J.C. Burges, A.J. Smola (Eds.); MIT Press, Cambridge, 1999, pp 376+vii, ISBN 0-262-19416-3. Neurocomputing 47(1-4): 303-304 (2002) - [j132]Witold Pedrycz, Giancarlo Succi, Myung-Geun Chun:
Association Analysis of Software Measures. Int. J. Softw. Eng. Knowl. Eng. 12(3): 291-316 (2002) - [j131]Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz:
Hybrid Fuzzy Polynomial Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(3): 257-280 (2002) - [j130]Sung-Kwun Oh, Witold Pedrycz:
The design of self-organizing Polynomial Neural Networks. Inf. Sci. 141(3-4): 237-258 (2002) - [j129]Witold Pedrycz, Adam Gacek:
Temporal granulation and its application to signal analysis. Inf. Sci. 143(1-4): 47-71 (2002) - [j128]Witold Pedrycz, George Vukovich:
Feature analysis through information granulation and fuzzy sets. Pattern Recognit. 35(4): 825-834 (2002) - [j127]Witold Pedrycz, George Vukovich:
Logic-oriented fuzzy clustering. Pattern Recognit. Lett. 23(13): 1515-1527 (2002) - [j126]Witold Pedrycz:
Collaborative fuzzy clustering. Pattern Recognit. Lett. 23(14): 1675-1686 (2002) - [j125]Witold Pedrycz, Athanasios V. Vasilakos:
Modularization of fuzzy relational equations. Soft Comput. 6(1): 33-37 (2002) - [j124]Witold Pedrycz, George Vukovich:
An fMUX architecture: data modularization and mixed-mode system modeling. Soft Comput. 6(3-4): 271-276 (2002) - [j123]Witold Pedrycz:
Computational intelligence and visual computing: an emerging technology for software engineering. Soft Comput. 7(1): 33-44 (2002) - [j122]Witold Pedrycz, Giancarlo Succi:
fXOR fuzzy logic networks. Soft Comput. 7(2): 115-120 (2002) - [j121]Witold Pedrycz, Giancarlo Succi, Ofer Shai:
Genetic-fuzzy approach to the Boolean satisfiability problem. IEEE Trans. Evol. Comput. 6(5): 519-525 (2002) - [j120]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. IEEE Trans. Fuzzy Syst. 10(5): 607-621 (2002) - [j119]Giovanni Bortolan, Witold Pedrycz:
Fuzzy descriptive models: an interactive framework of information granulation [ECG data]. IEEE Trans. Fuzzy Syst. 10(6): 743-755 (2002) - [j118]Witold Pedrycz, Andrzej Bargiela:
Granular clustering: a granular signature of data. IEEE Trans. Syst. Man Cybern. Part B 32(2): 212-224 (2002) - [j117]Witold Pedrycz:
Relational and directional aspects in the construction of information granules. IEEE Trans. Syst. Man Cybern. Part A 32(5): 605-614 (2002) - [j116]Witold Pedrycz, George Vukovich:
On elicitation of membership functions. IEEE Trans. Syst. Man Cybern. Part A 32(6): 761-767 (2002) - [c32]Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota:
Logic-Based Granular Prototyping. COMPSAC 2002: 1164-1169 - [c31]Wladyslaw Homenda, Witold Pedrycz:
Symmetrization of Fuzzy Operators: Notes on Data Aggregation. FSKD 2002: 23-27 - [c30]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Fuzzy Relational Image Compression using Non-Uniform Coders Designed by an Overlap Level of Fuzzy Sets. FSKD 2002: 290-294 - [c29]Witold Pedrycz, George Vukovich:
Clustering in the framework of collaborative agents. FUZZ-IEEE 2002: 134-138 - [c28]Andrzej Bargiela, Witold Pedrycz:
A model of granular data: a design problem with the Tchebyschev-based clustering. FUZZ-IEEE 2002: 578-583 - [c27]Witold Pedrycz:
Associations and rules in data mining: a linkage analysis. FUZZ-IEEE 2002: 867-871 - [c26]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence. FUZZ-IEEE 2002: 1156-1161 - [c25]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
A digital watermarking algorithm using image compression method based on fuzzy relational equation. FUZZ-IEEE 2002: 1568-1573 - [c24]Petr Musílek, Witold Pedrycz, Nan Sun, Giancarlo Succi:
On the Sensitivity of COCOMO II Software Cost Estimation Model. IEEE METRICS 2002: 13-20 - [c23]Witold Pedrycz:
Computational intelligence as an emerging paradigm of software engineering. SEKE 2002: 7-14 - 2001
- [j115]Witold Pedrycz:
Fuzzy equalization in the construction of fuzzy sets. Fuzzy Sets Syst. 119(2): 329-335 (2001) - [j114]Witold Pedrycz, Zenon A. Sosnowski:
The design of decision trees in the framework of granular data and their application to software quality models. Fuzzy Sets Syst. 123(3): 271-290 (2001) - [j113]Witold Pedrycz, Adam Gacek:
Learning of Fuzzy Automata. Int. J. Comput. Intell. Appl. 1(1): 19-33 (2001) - [j112]Shounak Roychowdhury, Witold Pedrycz:
A survey of defuzzification strategies. Int. J. Intell. Syst. 16(6): 679-695 (2001) - [j111]Sankar K. Pal, Witold Pedrycz, Andrzej Skowron, Roman W. Swiniarski:
Presenting the special issue on Rough-neuro computing : Preface. Neurocomputing 36(1-4): 1-3 (2001) - [j110]Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai:
Calibration of software quality: Fuzzy neural and rough neural computing approaches. Neurocomputing 36(1-4): 149-170 (2001) - [j109]Witold Pedrycz, George Vukovich:
Granular neural networks. Neurocomputing 36(1-4): 205-224 (2001) - [j108]Witold Pedrycz, Giancarlo Succi, Petr Musílek, Xiao Bai:
Using self-organizing maps to analyze object-oriented software measures. J. Syst. Softw. 59(1): 65-82 (2001) - [j107]Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz:
Application of computational intelligence techniques in active networks. Soft Comput. 5(4): 264-271 (2001) - [j106]Witold Pedrycz, George Vukovich:
Abstraction and specialization of information granules. IEEE Trans. Syst. Man Cybern. Part B 31(1): 106-111 (2001) - [j105]Witold Pedrycz, Kaoru Hirota, Salvatore Sessa:
A decomposition of fuzzy relations. IEEE Trans. Syst. Man Cybern. Part B 31(4): 657-663 (2001) - [c22]Roelof K. Brouwer, Witold Pedrycz:
One-to-many mappings represented on feed-forward networks. ESANN 2001: 365-370 - [c21]Hung T. Nguyen, Vladik Kreinovich, Witold Pedrycz:
Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. EUSFLAT Conf. 2001: 406-409 - [c20]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz:
Fuzzy Relations Neural Network: Some Preliminary Results. FUZZ-IEEE 2001: 469-472 - [c19]Pratit Santiprabhob, Hung T. Nguyen, Witold Pedrycz, Vladik Kreinovich:
Logic-motivated Choice of Fuzzy Logic Operators. FUZZ-IEEE 2001: 646-649 - [c18]Giancarlo Succi, Jason Yip, Witold Pedrycz:
Holmes: An Intelligent System to Support Software Product Line Development. ICSE 2001: 829-830 - [c17]Snezana Djokic, Giancarlo Succi, Witold Pedrycz, Martin P. Mintchev:
Meta Analysis - A Method of Combining Empirical Results and its Application in Object-Oriented Software Systems. OOIS 2001: 103-112 - [c16]Gabriel Jarillo, Giancarlo Succi, Witold Pedrycz, Marek Z. Reformat:
Analysis of Software Engineering Data Using Computational Intelligence Techniques. OOIS 2001: 133-140 - [c15]Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz:
Application of computational intelligence techniques in active networks. SAC 2001: 448-455 - [c14]Michael H. Smith, Witold Pedrycz:
Perception issues in data mining. SMC 2001: 2553 - 2000
- [j104]Sung-Kwun Oh, Witold Pedrycz:
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems. Fuzzy Sets Syst. 115(2): 205-230 (2000) - [j103]Witold Pedrycz, George Vukovich:
Granular worlds: Representation and communication problems. Int. J. Intell. Syst. 15(11): 1015-1026 (2000) - [j102]Witold Pedrycz:
Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9. Neurocomputing 35(1-4): 203-204 (2000) - [j101]Witold Pedrycz, George Vukovich:
Representation and Propagation of Information Granules in Rule-based Computing. J. Adv. Comput. Intell. Intell. Informatics 4(1): 102-110 (2000) - [j100]Max Q.-H. Meng, Witold Pedrycz:
Editorial: Sampling Research on Advanced Computational Intelligence in Canada. J. Adv. Comput. Intell. Intell. Informatics 4(3): 187 (2000) - [j99]Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz:
Neural Network Based Power Flow Predictor. J. Adv. Comput. Intell. Intell. Informatics 4(3): 206-211 (2000) - [j98]Myung-Geun Chun, Keun Chang Kwak, Jeong-Woong Ryu, Witold Pedrycz:
A Fuzzy Rule Extraction Method for ANFIS Using CFCM and Fuzzy Equalization. J. Adv. Comput. Intell. Intell. Informatics 4(5): 355-361 (2000) - [j97]Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota:
Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction. IEEE Trans. Fuzzy Syst. 8(3): 325-334 (2000) - [j96]Witold Pedrycz, Zenon A. Sosnowski:
Designing decision trees with the use of fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 30(2): 151-159 (2000) - [j95]Witold Pedrycz, George Vukovich:
Investigating a relevance of fuzzy mappings. IEEE Trans. Syst. Man Cybern. Part B 30(2): 249-262 (2000) - [c13]Witold Pedrycz, Michael H. Smith:
Information granulation: percepts and their stability. FUZZ-IEEE 2000: 83-88 - [c12]Giancarlo Succi, Jason Yip, Eric Liu, Witold Pedrycz:
Holmes: a system to support software product lines. ICSE 2000: 786 - [c11]Nicolino J. Pizzi, Witold Pedrycz:
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. IJCNN (3) 2000: 109-114 - [c10]Witold Pedrycz, Athanasios V. Vasilakos, Adam Gacek:
Information Granulation for Concept Formation. SAC (1) 2000: 484-489 - [c9]Michael H. Smith, Witold Pedrycz:
Expanding the meaning of and applications for data mining. SMC 2000: 1874
1990 – 1999
- 1999
- [j94]Witold Pedrycz:
Ernest Czogala. Fuzzy Sets Syst. 104(2): 139-140 (1999) - [j93]Kaoru Hirota, Witold Pedrycz:
Specificity shift in solving fuzzy relational equations. Fuzzy Sets Syst. 106(2): 211-220 (1999) - [j92]Witold Pedrycz, George Vukovich:
Granular computing in the development of fuzzy controllers. Int. J. Intell. Syst. 14(4): 419-447 (1999) - [j91]James F. Peters, Andrzej Skowron, Zbigniew Suraj, Witold Pedrycz, Sheela Ramanna:
Approximate real-time decision making: Concepts and rough fuzzy Petri net models. Int. J. Intell. Syst. 14(8): 805-839 (1999) - [j90]Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters, Witold Pedrycz:
Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model. J. Adv. Comput. Intell. Intell. Informatics 3(2): 99-105 (1999) - [j89]Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz:
Fuzzy Set Based Neural Networks: Structure, Learning and Application. J. Adv. Comput. Intell. Intell. Informatics 3(3): 151-157 (1999) - [j88]Witold Pedrycz:
Guest Editorial. J. Intell. Manuf. 10(2): 119-120 (1999) - [j87]Andrzej Kraslawski, Witold Pedrycz, Lars Nyström:
Fuzzy Neural Network as Instance Generator for Case-Based Reasoning System: An Example of Selection of Heat Exchange Equipment in Mixing Tanks. Neural Comput. Appl. 8(2): 106-113 (1999) - [j86]Kaoru Hirota, Witold Pedrycz:
Fuzzy computing for data mining. Proc. IEEE 87(9): 1575-1600 (1999) - [j85]Witold Pedrycz:
Generalized fuzzy Petri nets as pattern classifiers. Pattern Recognit. Lett. 20(14): 1489-1498 (1999) - [j84]Kaoru Hirota, Witold Pedrycz:
Fuzzy relational compression. IEEE Trans. Syst. Man Cybern. Part B 29(3): 407-415 (1999) - [j83]Witold Pedrycz, Athanasios V. Vasilakos:
Linguistic models and linguistic modeling. IEEE Trans. Syst. Man Cybern. Part B 29(6): 745-757 (1999) - 1998
- [b2]Witold Pedrycz, James F. Peters:
Computational Intelligence in Software Engineering. Advances in Fuzzy Systems - Applications and Theory 16, World Scientific 1998, ISBN 978-981-02-3503-1, pp. 1-500 - [j82]Petr Ekel, Witold Pedrycz, Roland Schinzinger:
A general approach to solving a wide class of fuzzy optimization problems. Fuzzy Sets Syst. 97(1): 49-66 (1998) - [j81]Witold Pedrycz:
Fuzzy set technology in knowledge discovery. Fuzzy Sets Syst. 98(3): 279-290 (1998) - [j80]Witold Pedrycz:
Optimization schemes for decomposition of fuzzy relations. Fuzzy Sets Syst. 100(1-3): 301-325 (1998) - [j79]Ricardo R. Gudwin, Fernando A. C. Gomide, Witold Pedrycz:
Context adaptation in fuzzy processing and genetic algorithms. Int. J. Intell. Syst. 13(10-11): 929-948 (1998) - [j78]Antonio Gisolfi, Witold Pedrycz, Salvatore Sessa:
Guest Editorial. Inf. Sci. 106(1-2): 1-2 (1998) - [j77]Kaoru Hirota, Witold Pedrycz:
Implicitly-Supervised Learning and Its Application to Fuzzy Pattern Classifiers. Inf. Sci. 106(1-2): 71-85 (1998) - [j76]Witold Pedrycz:
Fuzzy evolutionary computing. Soft Comput. 2(2): 61-72 (1998) - [j75]Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, G. Wesley Rogers:
Two nonparametric models for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 6(3): 411-425 (1998) - [j74]Witold Pedrycz:
Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Trans. Neural Networks 9(4): 601-612 (1998) - [j73]Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski:
Data Mining Methods for Knowledge Discovery. IEEE Trans. Neural Networks 9(6): 1533-1534 (1998) - [j72]Witold Pedrycz:
Shadowed sets: representing and processing fuzzy sets. IEEE Trans. Syst. Man Cybern. Part B 28(1): 103-109 (1998) - [c8]Takeshi Furuhashi, James F. Peters, Witold Pedrycz:
Controller design using multigranular architecture of fuzzy inference and Petri nets. SMC 1998: 1388-1393 - 1997
- [j71]Witold Pedrycz:
Technological developments section. Fuzzy Sets Syst. 85(1): 121-125 (1997) - [j70]Witold Pedrycz, Ricardo R. Gudwin, Fernando A. C. Gomide:
Nonlinear context adaptation in the calibration of fuzzy sets. Fuzzy Sets Syst. 88(1): 91-97 (1997) - [j69]Witold Pedrycz:
Fuzzy sets in pattern recognition: Accomplishments and challenges. Fuzzy Sets Syst. 90(2): 171-176 (1997) - [j68]Witold Pedrycz, Marek Z. Reformat:
Rule-based models of multivariable functions. Fuzzy Sets Syst. 90(3): 235-253 (1997) - [j67]Kaoru Hirota, Witold Pedrycz:
Nonmonotonic fuzzy set operations: A generalization and some applications. Int. J. Intell. Syst. 12(7): 483-493 (1997) - [j66]Giovanni Bortolan, Witold Pedrycz:
Fuzzy Encoding and Decoding: A Study in Information Granularity. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 5(1): 71-92 (1997) - [j65]Witold Pedrycz, James Waletzky:
Fuzzy Clustering in Software Reusability. Softw. Pract. Exp. 27(3): 245-270 (1997) - [j64]Giovanni Bortolan, Witold Pedrycz:
Reconstruction problem and information granularity. IEEE Trans. Fuzzy Syst. 5(2): 234-248 (1997) - [j63]Witold Pedrycz, Marek Z. Reformat:
Rule-based modeling of nonlinear relationships. IEEE Trans. Fuzzy Syst. 5(2): 256-269 (1997) - [j62]Witold Pedrycz, James Waletzky:
Neural-network front ends in unsupervised learning. IEEE Trans. Neural Networks 8(2): 390-401 (1997) - [j61]Witold Pedrycz, James Waletzky:
Fuzzy clustering with partial supervision. IEEE Trans. Syst. Man Cybern. Part B 27(5): 787-795 (1997) - [c7]Witold Pedrycz, Michael H. Smith:
Fuzzy inference networks: an introduction. ICNN 1997: 2342-2346 - 1996
- [j60]Witold Pedrycz, José Valente de Oliveira:
An algorithmic framework for development and optimization of fuzzy models. Fuzzy Sets Syst. 80(1): 37-55 (1996) - [j59]Kaoru Hirota, Witold Pedrycz:
Directional fuzzy clustering and its application to fuzzy modelling. Fuzzy Sets Syst. 80(3): 315-326 (1996) - [j58]Kaoru Hirota, Witold Pedrycz:
Solving fuzzy relational equations through logical filtering. Fuzzy Sets Syst. 81(3): 355-363 (1996) - [j57]Heloisa Scarpelli, Fernando A. C. Gomide, Witold Pedrycz:
Modeling fuzzy Reasoning using High Level fuzzy Petri Nets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 4(1): 61-86 (1996) - [j56]Witold Pedrycz:
Interfaces of Fuzzy Models: A Study in Fuzzy Information Processing. Inf. Sci. 90(1-4): 231-280 (1996) - [j55]Witold Pedrycz:
Classification of relational patterns as a decomposition problem. Pattern Recognit. Lett. 17(1): 91-99 (1996) - [j54]Yukiko Nakagawa, Kaoru Hirota, Witold Pedrycz:
A fuzzy knowledge base for dynamic image understandin. Pattern Recognit. Lett. 17(6): 601-605 (1996) - [j53]Witold Pedrycz:
Conditional Fuzzy C-Means. Pattern Recognit. Lett. 17(6): 625-631 (1996) - [j52]Witold Pedrycz:
Fuzzy multimodels. IEEE Trans. Fuzzy Syst. 4(2): 139-148 (1996) - [j51]Richard J. Hathaway, James C. Bezdek, Witold Pedrycz:
A parametric model for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Syst. 4(3): 270-281 (1996) - [j50]Witold Pedrycz, José Valente de Oliveira:
Optimization of fuzzy models. IEEE Trans. Syst. Man Cybern. Part B 26(4): 627-636 (1996) - 1995
- [b1]Witold Pedrycz:
Fuzzy sets engineering. CRC Press 1995, ISBN 978-0-8493-9402-7, pp. 1-332 - [j49]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Equations and relations on ordered structures: Mathematical aspects and applications. Fuzzy Sets Syst. 75(2): 117-118 (1995) - [j48]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Fuzzy relational structures: The state-of-art. Fuzzy Sets Syst. 75(2): 241-262 (1995) - [j47]Witold Pedrycz, C. Hart Poskar, P. J. Czerowski:
A reconfigurable fuzzy neural network with in-situ learning. IEEE Micro 15(4): 19-30 (1995) - [j46]Kaoru Hirota, Witold Pedrycz:
D-fuzzy clustering. Pattern Recognit. Lett. 16(2): 193-200 (1995) - [j45]Kaoru Hirota, Witold Pedrycz:
Design of fuzzy systems with fuzzy flip-flops. IEEE Trans. Syst. Man Cybern. 25(1): 169-176 (1995) - [j44]Witold Pedrycz, Patrick C. F. Lam, Armando F. Rocha:
Distributed fuzzy system modeling. IEEE Trans. Syst. Man Cybern. 25(5): 769-780 (1995) - [c6]James C. Bezdek, Richard J. Hathaway, Witold Pedrycz:
A parametric heterogeneous fuzzy data model. ICNN 1995: 354-358 - 1994
- [j43]Witold Pedrycz, Eugene Roventa:
A Hierarchical Neural Model of Matching. Inf. Sci. 78(3-4): 215-227 (1994) - [j42]Siegfried Gottwald, Witold Pedrycz:
Revealing Logical Dependencies in Fuzzy Data with the Aid of Multilevel Fuzzy Relational Equations. Inf. Sci. 78(3-4): 311-324 (1994) - [j41]Witold Pedrycz:
Neural Structures of Fuzzy Decision-Making. J. Intell. Fuzzy Syst. 2(2): 161-178 (1994) - [j40]Kaoru Hirota, Witold Pedrycz:
OR/AND neuron in modeling fuzzy set connectives. IEEE Trans. Fuzzy Syst. 2(2): 151-161 (1994) - [j39]Witold Pedrycz, Fernando A. C. Gomide:
A generalized fuzzy Petri net model. IEEE Trans. Fuzzy Syst. 2(4): 295-301 (1994) - [j38]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
Fuzzy Information in Knowledge Representation and Processing for Frame-Based Structures. IEEE Trans. Syst. Man Cybern. Syst. 24(6): 918-925 (1994) - [c5]Zaifu Zhang, Robert D. McLeod, Witold Pedrycz:
Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing. DFT 1994: 55-64 - 1993
- [j37]Zaifu Zhang, Robert D. McLeod, Witold Pedrycz:
A neural network algorithm for testing stuck-open faults in CMOS combinational circuits. J. Electron. Test. 4(3): 225-235 (1993) - [j36]Kaoru Hirota, Witold Pedrycz:
Logic-based neural networks. Inf. Sci. 71(1-2): 99-130 (1993) - [j35]Witold Pedrycz:
Principles and methodology of fuzzy sets. J. Intell. Manuf. 4(5): 323-340 (1993) - [j34]Witold Pedrycz, Armando F. Rocha:
Fuzzy-set based models of neurons and knowledge-based networks. IEEE Trans. Fuzzy Syst. 1(4): 254-266 (1993) - [j33]C. Sul, Robert D. McLeod, Witold Pedrycz:
Reliable and fast reconfigurable hierarchical interconnection networks for linear WSI arrays. IEEE Trans. Very Large Scale Integr. Syst. 1(2): 224-228 (1993) - 1992
- [j32]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
A study on approximate reasoning mechanisms via fuzzy relation equations. Int. J. Approx. Reason. 6(1): 33-44 (1992) - [j31]Kaoru Hirota, Witold Pedrycz:
Concepts formation: Representation and processing issues. Int. J. Intell. Syst. 7(1): 3-13 (1992) - [j30]Witold Pedrycz:
Selected issues of frame of knowledge representation realized by means of linguistic labels. Int. J. Intell. Syst. 7(2): 155-169 (1992) - [j29]Kaoru Hirota, Witold Pedrycz:
Prototype construction and evaluation as inverse problems in pattern classification. Pattern Recognit. 25(6): 601-608 (1992) - [j28]Witold Pedrycz:
Author's reply. Pattern Recognit. 25(9): 1071-1072 (1992) - [j27]Witold Pedrycz:
Fuzzy neural networks with reference neurons as pattern classifiers. IEEE Trans. Neural Networks 3(5): 770-775 (1992) - [j26]Witold Pedrycz:
Associations of fuzzy sets. IEEE Trans. Syst. Man Cybern. 22(6): 1483-1488 (1992) - [c4]Witold Pedrycz:
Modelling with Fuzzy Sets in Fuzzy Control. Fuzzy Days 1992: 3-34 - 1991
- [j25]Witold Pedrycz, Giovanni Bortolan, Rosanna Degani:
Classification of electrocardiographic signals: a fuzzy pattern matching approach. Artif. Intell. Medicine 3(4): 211-226 (1991) - [j24]Witold Pedrycz:
Fuzzy logic in development of fundamentals of pattern recognition. Int. J. Approx. Reason. 5(3): 251-264 (1991) - [j23]Witold Pedrycz:
Neurocomputations in Relational Systems. IEEE Trans. Pattern Anal. Mach. Intell. 13(3): 289-297 (1991) - [j22]Witold Pedrycz:
Formation of prototypes and their confidence regions in classification and concept formation problems. Pattern Recognit. Lett. 12(12): 739-746 (1991) - [j21]Kaoru Hirota, Witold Pedrycz:
Matching fuzzy quantities. IEEE Trans. Syst. Man Cybern. 21(6): 1580-1586 (1991) - [j20]Witold Pedrycz:
A referential scheme of fuzzy decision making and its neural network structure. IEEE Trans. Syst. Man Cybern. 21(6): 1593-1604 (1991) - [c3]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Difference Fuzzy Relation Equations: Studies in Dynamical Systems. ECSQARU 1991: 161-165 - [c2]Witold Pedrycz:
Fuzzy Dynamic Systems. Fuzzy Logic and Fuzzy Control 1991: 37-44 - 1990
- [j19]Antonio Di Nola, Salvatore Sessa, Witold Pedrycz:
On some finite fuzzy relation equations. Inf. Sci. 50(1): 93-109 (1990) - [j18]Witold Pedrycz:
Relevancy of fuzzy models. Inf. Sci. 52(3): 285-302 (1990) - [j17]Witold Pedrycz:
Fuzzy sets in pattern recognition: Methodology and methods. Pattern Recognit. 23(1-2): 121-146 (1990) - [j16]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa, Elie Sanchez:
Designing of classification procedures with the use of equality and difference operators. Pattern Recognit. 23(8): 911-917 (1990) - [c1]J. Diamond, R. McLeod, Witold Pedrycz:
A fuzzy cognitive system: examination of a referential neural architecture. IJCNN 1990: 617-622
1980 – 1989
- 1989
- [j15]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
An aspect of discrepancy in the implementation of modus ponens in the presence of fuzzy quantities. Int. J. Approx. Reason. 3(3): 259-265 (1989) - [j14]Witold Pedrycz:
Knowledge representation in medicine and clinical behavioural science : L. J. Kohout and W. Bandler, Eds., Abacus Press, Tunbridge Wells, Kent, 1988, $24.50 . Int. J. Approx. Reason. 3(6): 467-469 (1989) - [j13]Witold Pedrycz:
A fuzzy cognitive structure for pattern recognition. Pattern Recognit. Lett. 9(5): 305-313 (1989) - 1988
- [j12]Vilém Novák, Witold Pedrycz:
Fuzzy Sets and T-Norms in the Light of Fuzzy Logic. Int. J. Man Mach. Stud. 29(2): 113-127 (1988) - 1986
- [j11]Witold Pedrycz:
Ranking multiple aspect alternatives - Fuzzy relational equations approach. Autom. 22(2): 251-253 (1986) - [j10]Siegfried Gottwald, Witold Pedrycz:
On the Suitability of Fuzzy Models: An Evaluation Through Fuzzy Integrals. Int. J. Man Mach. Stud. 24(2): 141-151 (1986) - [j9]Kaoru Hirota, Witold Pedrycz:
Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis. IEEE Trans. Syst. Man Cybern. 16(1): 173-179 (1986) - 1985
- [j8]Witold Pedrycz:
Algorithms of fuzzy clustering with partial supervision. Pattern Recognit. Lett. 3(1): 13-20 (1985) - [j7]Witold Pedrycz:
Classification in a fuzzy environment. Pattern Recognit. Lett. 3(5): 303-308 (1985) - 1984
- [j6]Antonio Di Nola, Witold Pedrycz, Salvatore Sessa:
Some theoretical aspects of fuzzy-relation equations describing fuzzy systems. Inf. Sci. 34(3): 241-264 (1984) - [j5]Kaoru Hirota, Witold Pedrycz:
Characterization of fuzzy clustering algorithms in terms of entropy of probabilistic sets. Pattern Recognit. Lett. 2(4): 213-216 (1984) - [j4]Witold Pedrycz:
Identification in fuzzy systems. IEEE Trans. Syst. Man Cybern. 14(2): 361-366 (1984) - 1982
- [j3]Kaoru Hirota, Witold Pedrycz:
Fuzzy system identification via probabilistic sets. Inf. Sci. 28(1): 21-43 (1982) - 1981
- [j2]Ernest Czogala, Witold Pedrycz:
Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems. Int. J. Man Mach. Stud. 15(2): 201-211 (1981) - 1980
- [j1]Witold Pedrycz:
Stabilization of bilinear systems by a linear feedback control. Kybernetika 16(1): 48-53 (1980)
Coauthor Index
[j1391] [j1386] [j1384] [j1320] [j1244] [j1242] [j1199] [j1123] [c281] [j1033] [c276] [b9] [j951] [j894] [j798] [j777] [j420] [j290] [p10] [j278] [j263] [j260] [j259] [j240] [j220] [j218] [j199] [p2] [j173] [j172] [j141] [c32] [c30] [c25] [j105] [j97] [j93] [j86] [j84] [j77] [j67] [j59] [j58] [j54] [j46] [j45] [j40] [j36] [j31] [j29] [j21] [j9] [j5] [j3]
[j1378] [j1308] [j1300] [j1299] [j1286] [j1274] [j1272] [j1262] [j1239] [j1224] [j1220] [j1215] [j1153] [j1139] [j1132] [j1129] [j1111] [j1103] [j1096] [j1090] [j1082] [j1077] [j1030] [j1027] [j1020] [j1019] [j1004] [j992] [j972] [j958] [j942] [j939] [j938] [j919] [j915] [j913] [j904] [j884] [j883] [j872] [j871] [j870] [j862] [j858] [j820] [j811] [j805] [j787] [j785] [i20] [i18] [i17] [i16] [i15] [j781] [j756] [j743] [j742] [j733] [j731] [j728] [j672] [j671] [j664] [j653] [j652] [j622] [j610] [j608] [j597] [j584] [j566] [c221]
[j1374] [j1296] [j1257] [j1155] [j1026] [j1018] [j1006] [j1005] [j902] [j900] [j896] [j885] [j795] [j793] [j751] [j749] [j734] [i10] [j669] [j667] [j637] [j636] [j599] [j585] [j575] [j574] [j553] [j546] [j536] [j529] [j518] [j499] [j498] [j497] [j479] [j472] [j462] [j458] [j425] [b6] [j308] [j279] [c40]
[j1325] [j1315] [j1295] [j1294] [j1283] [j1275] [j1270] [j1261] [j1260] [j1258] [j1245] [j1243] [j1207] [j1201] [j1196] [j1162] [j1135] [j1106] [j1105] [j1085] [j1078] [j1076] [j1075] [j1063] [j1062] [j1039] [j1015] [j990] [j989] [j977] [j959] [j941] [j931] [j892] [j882] [j877] [j856] [j828] [j801] [i13] [j780] [j768] [j706] [j691] [j668] [j663] [j661] [j660] [j626] [j607] [j592] [j591] [j586] [c212] [j520] [j493] [j481] [j477] [j463] [j460] [j450] [j448] [j447] [j444] [c172] [c171] [c167] [j426] [j424] [j417] [j395] [j392] [j391] [j388] [j383] [j375] [j364] [j349] [j345] [j332] [j328] [j325] [j310] [j307] [c119] [j300] [j298] [j295] [j294] [j293] [j291] [p15] [p13] [j277] [j271] [j269] [j262] [j261] [j255] [j254] [c95] [c94] [c89] [j245] [j244] [j239] [j237] [j235] [j232] [j230] [j227] [j226] [j224] [c86] [c84] [c81] [c80] [c79] [c77] [c76] [j211] [c73] [c70] [c69] [c68] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [j194] [j192] [j191] [j188] [j185] [j179] [j177] [c49] [c48] [c47] [c46] [c45] [j167] [j165] [j161] [j155] [j149] [c36] [j144] [j142] [j136] [j131] [j130] [j120] [j104]
Nicolino J. Pizzi
aka: Nick J. Pizzi
aka: Nick J. Pizzi
[j1286] [j1233] [j1232] [j1230] [j1198] [j1103] [c277] [c271] [c269] [c268] [d2] [d1] [i24] [c217] [c216] [c213] [p25] [p24] [e26] [j545] [j524] [j429] [j381] [c112] [c108] [c107] [c98] [c91] [c88] [j241] [j238] [j219] [j208] [j166] [j160] [j157] [j132] [j122] [j121] [c24] [j108] [c18] [c17] [c16] [c12]
Ponnuthurai N. Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
Athanasios V. Vasilakos
aka: Thanos Vasilakos
aka: Thanos Vasilakos
MengChu Zhou
aka: Mengchu Zhou
aka: Mengchu Zhou
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