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2020 – today
- 2024
[j92]Nittaya Chemkomnerd
, Warut Pannakkong, Tanatorn Tanantong, Van-Nam Huynh, Jessada Karnjana:
A Simulation-Based Multi-Objective Optimization Framework to Enhance Patient Satisfaction: A Case Study of Ophthalmology Department Management. IEEE Access 12: 93197-93220 (2024)- [j91]Raveekiat Singhaphandu, Warut Pannakkong, Van-Nam Huynh, Prachya Boonkwan:
A Manual Assembly Virtual Training System With Automatically Generated Augmented Feedback: Using the Comparison of Digitized Operator's Skill. IEEE Access 12: 133356-133391 (2024) - [j90]Anh-Tu Tran, The-Dung Luong, Van-Nam Huynh:
A comprehensive survey and taxonomy on privacy-preserving deep learning. Neurocomputing 576: 127345 (2024) - [j89]Toan Nguyen Mau, Anh-Cuong Le, Duc-Hong Pham, Van-Nam Huynh:
An information fusion based approach to context-based fine-tuning of GPT models. Inf. Fusion 104: 102202 (2024) - [j88]Wei Ou, Van-Nam Huynh:
Conditional variational autoencoder for query expansion in ad-hoc information retrieval. Inf. Sci. 652: 119764 (2024) - [j87]Wei Ou, Van-Nam Huynh:
Aspect-level item recommendation based on user reviews with variational autoencoders. Inf. Sci. 671: 120655 (2024) - [j86]Nu Dieu Khue Ngo, Thanh Quynh Le, Roengchai Tansuchat, Toan Nguyen Mau, Van-Nam Huynh:
Evaluating Innovation Capability in Banking Under Uncertainty. IEEE Trans. Engineering Management 71: 855-872 (2024) - [c90]Anh-Tu Tran, Van-Nam Huynh, Viet-Hung Dang:
A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-Based Evidential Deep Neural Network. BELIEF 2024: 98-107 - [c89]Nittaya Chemkomnerd, Warut Pannakkong, Van-Nam Huynh, Tanatorn Tanantong:
Evaluating Patient Satisfaction Through Validated Predictive Classification Models. IIAI-AAI 2024: 337-342 - [c88]Nguyen Duy Hung, Van-Nam Huynh:
User-Centred Argumentation Analysis of Local Explanations in Explainable AI. MDAI 2024: 127-139 - [c87]Vu-Linh Nguyen, Toan Nguyen Mau, Van-Nam Huynh:
Accelerate K-Mode Algorithms Using The Triangle Inequality. SUM 2024: 325-339 - [i1]Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh:
Categorical data clustering: 25 years beyond K-modes. CoRR abs/2408.17244 (2024) - 2023
- [j85]Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh:
Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework. IEEE Access 11: 61161-61172 (2023) - [j84]Nu Dieu Khue Ngo, Roengchai Tansuchat, Cu Pham-Van, Toan Nguyen Mau, Youji Kohda, Van-Nam Huynh:
A Customer-Driven Evaluation Method for Service Innovation in Banking. IEEE Access 11: 68139-68152 (2023) - [j83]Pakkaporn Saophan, Warut Pannakkong, Raveekiat Singhaphandu, Van-Nam Huynh:
Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs). IEEE Access 11: 75794-75817 (2023) - [j82]Quoc-Dai Luong Tran, Anh-Cuong Le, Van-Nam Huynh:
Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning. IEEE Access 11: 75955-75970 (2023) - [j81]Nguyen Duy Hung, Van-Nam Huynh:
Integrated preference argumentation and applications in consumer behaviour analyses. Int. J. Approx. Reason. 159: 108938 (2023) - [j80]Thu-Hien Thi Nguyen, Duy-Tai Dinh, Songsak Sriboonchitta, Van-Nam Huynh:
A method for k-means-like clustering of categorical data. J. Ambient Intell. Humaniz. Comput. 14(11): 15011-15021 (2023) - [j79]Duc-Vinh Vo, Trung-Tin Tran, Kiyoaki Shirai, Van-Nam Huynh:
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts. IEEE Trans. Knowl. Data Eng. 35(7): 6811-6826 (2023) - [c86]Vu-Linh Nguyen, Xuan-Truong Hoang, Van-Nam Huynh:
Inference Problem in Probabilistic Multi-label Classification. IUKM (2) 2023: 3-14 - [c85]Yang Yu, Tai Dinh, Fangyu Yu, Van-Nam Huynh:
Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm. MEDI 2023: 102-115 - [e19]Van-Nam Huynh, Bac Le, Katsuhiro Honda, Masahiro Inuiguchi, Youji Kohda:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14375, Springer 2023, ISBN 978-3-031-46774-5 [contents] - [e18]Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14376, Springer 2023, ISBN 978-3-031-46780-6 [contents] - 2022
- [j78]Toan Nguyen Mau, Yasushi Inoguchi, Van-Nam Huynh:
A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data. IEEE Access 10: 34196-34206 (2022) - [j77]Quang-Hung Le, Toan Nguyen Mau, Roengchai Tansuchat, Van-Nam Huynh:
A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations. IEEE Access 10: 37281-37293 (2022) - [j76]Randall Mauricio Pérez-Wheelock, Wei Ou, Pisal Yenradee, Van-Nam Huynh:
A Demand-Driven Model for Reallocating Workers in Assembly Lines. IEEE Access 10: 80300-80320 (2022) - [j75]Sirin Suprasongsin, Pisal Yenradee, Van-Nam Huynh, Suchada Rianmora:
3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30(4): 681-707 (2022) - [j74]Ba-Hung Nguyen, Van-Nam Huynh:
Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach. J. Oper. Res. Soc. 73(1): 102-121 (2022) - [c84]Nu Dieu Khue Ngo, Van-Nam Huynh:
A Data-Driven Weighting Method Based on DEA Model for Evaluating Innovation Capability in Banking. IUKM 2022: 53-66 - [c83]Pavinee Rerkjirattikal, Raveekiat Singhaphandu, Van-Nam Huynh, Sun Olapiriyakul:
Job-Satisfaction Enhancement in Nurse Scheduling: A Case of Hospital Emergency Department in Thailand. IUKM 2022: 143-154 - [c82]Quoc-Dai Luong Tran, Anh-Cuong Le, Van-Nam Huynh:
Towards a Human-like Chatbot using Deep Adversarial Learning. KSE 2022: 1-5 - [c81]Xuan-May Thi Le, Minh-Tuan Tran, Van-Nam Huynh:
Learning Perceptual Position-Aware Shapelets for Time Series Classification. ECML/PKDD (6) 2022: 53-69 - [e17]Katsuhiro Honda, Tomoe Entani, Seiki Ubukata, Van-Nam Huynh, Masahiro Inuiguchi:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 9th International Symposium, IUKM 2022, Ishikawa, Japan, March 18-19, 2022, Proceedings. Lecture Notes in Computer Science 13199, Springer 2022, ISBN 978-3-030-98017-7 [contents] - 2021
- [j73]Anh Hoang, Toan Nguyen Mau, Duc-Vinh Vo, Van-Nam Huynh:
A Mass-Based Approach for Local Outlier Detection. IEEE Access 9: 16448-16466 (2021) - [j72]Thananut Phiboonbanakit, Teerayut Horanont, Van-Nam Huynh, Thepchai Supnithi:
A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics. IEEE Access 9: 163325-163347 (2021) - [j71]Van-Nam Huynh, Hongbin Yan:
Preface: recent advances in knowledge modelling and decision making with uncertainties. Ann. Oper. Res. 300(2): 313-317 (2021) - [j70]Nguyen Duy Hung, Van-Nam Huynh:
Revealed preference in argumentation: Algorithms and applications. Int. J. Approx. Reason. 131: 214-251 (2021) - [j69]Kwanjira Kaewfak, Veeris Ammarapala, Van-Nam Huynh:
Multi-objective Optimization of Freight Route Choices in Multimodal Transportation. Int. J. Comput. Intell. Syst. 14(1): 794-807 (2021) - [j68]Anh-Tu Tran, The-Dung Luong, Jessada Karnjana, Van-Nam Huynh:
An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation. Neurocomputing 422: 245-262 (2021) - [j67]Toan Nguyen Mau, Van-Nam Huynh:
An LSH-based k-representatives clustering method for large categorical data. Neurocomputing 463: 29-44 (2021) - [j66]Duc-Vinh Vo, Jessada Karnjana, Van-Nam Huynh:
An integrated framework of learning and evidential reasoning for user profiling using short texts. Inf. Fusion 70: 27-42 (2021) - [j65]Duy-Tai Dinh, Van-Nam Huynh, Songsak Sriboonchitta:
Clustering mixed numerical and categorical data with missing values. Inf. Sci. 571: 418-442 (2021) - [j64]Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denoeux, Van-Nam Huynh, Hieu-Chi Dam:
Evidence-based recommender system for high-entropy alloys. Nat. Comput. Sci. 1(7): 470-478 (2021) - [c80]Nu Dieu Khue Ngo, Youji Kohda, Van-Nam Huynh:
Analyzing the Relationship Between Service Innovation and Customer Value Co-creation Intention: The Case of Mobile Banking. AHFE (8) 2021: 456-466 - [c79]Yang Yu, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh:
Discovering Topics of Interest on Steam Community Using an LDA Approach. AHFE (8) 2021: 510-517 - [c78]Nguyen Duy Hung, Van-Nam Huynh:
Revealed Preference Argumentation and Applications in Consumer Behaviour Analyses. EUMAS 2021: 55-71 - [c77]Toan Nguyen Mau, Van-Nam Huynh:
Kernel-Based k-Representatives Algorithm for Fuzzy Clustering of Categorical Data. FUZZ-IEEE 2021: 1-6 - [c76]Panchalee Praneetpholkrang, Van-Nam Huynh, Sarunya Kanjanawattana:
Bi-objective Optimization Model for Determining Shelter Location-allocation in Humanitarian Relief Logistics. ICORES 2021: 387-393 - [c75]Yang Yu, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh:
Esports Game Updates and Player Perception: Data Analysis of PUBG Steam Reviews. KSE 2021: 1-6 - [c74]Anh Hoang, Toan Nguyen Mau, Van-Nam Huynh:
Mass-Based Similarity Weighted k-Neighbor for Class Imbalance. MDAI 2021: 143-155 - [c73]Toan Nguyen Mau, Van-Nam Huynh:
Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering. MDAI 2021: 205-217 - 2020
- [j63]Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong:
An Efficient Method for Mining Closed Potential High-Utility Itemsets. IEEE Access 8: 31813-31822 (2020) - [j62]Thanh-Phu Nguyen, Su Nguyen, Damminda Alahakoon, Van-Nam Huynh:
GSIC: A New Interpretable System for Knowledge Exploration and Classification. IEEE Access 8: 108544-108554 (2020) - [j61]Kwanjira Kaewfak, Van-Nam Huynh, Veeris Ammarapala, Nantaporn Ratisoontorn:
A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems. IEEE Access 8: 153756-153773 (2020) - [j60]Sirin Suprasongsin, Pisal Yenradee, Van-Nam Huynh:
A weight-consistent model for fuzzy supplier selection and order allocation problem. Ann. Oper. Res. 293(2): 587-605 (2020) - [j59]Tuong Le, Bay Vo, Van-Nam Huynh, Ngoc Thanh Nguyen, Sung Wook Baik:
Mining top-k frequent patterns from uncertain databases. Appl. Intell. 50(5): 1487-1497 (2020) - [j58]Duy-Tai Dinh, Van-Nam Huynh:
k-PbC: an improved cluster center initialization for categorical data clustering. Appl. Intell. 50(8): 2610-2632 (2020) - [j57]Nhat-Vinh Lu, Roengchai Tansuchat, Takaya Yuizono, Van-Nam Huynh:
Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food. Int. J. Comput. Intell. Syst. 13(1): 655-662 (2020) - [j56]Hung Ba Nguyen, Van-Nam Huynh:
On Sampling Techniques for Corporate Credit Scoring. J. Adv. Comput. Intell. Intell. Informatics 24(1): 48-57 (2020) - [j55]Van-Doan Nguyen, Van-Nam Huynh, Songsak Sriboonchitta:
Integrating Community Context Information Into a Reliably Weighted Collaborative Filtering System Using Soft Ratings. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1318-1330 (2020) - [c72]Pavinee Rerkjirattikal, Van-Nam Huynh, Sun Olapiriyakul, Thepchai Supnithi:
A Framework for a Practical Nurse Scheduling Approach: A Case of Operating Room of a Hospital in Thailand. AHFE (8) 2020: 259-264 - [c71]Raveekiat Singhaphandu, Van-Nam Huynh, Warut Pannakkong:
Analysis and Feedback of Movement in Manual Assembly Process. AHFE (8) 2020: 265-270 - [c70]Duc-Vinh Vo, Anh Hoang, Van-Nam Huynh:
An Evidential Reasoning Framework for User Profiling Using Short Texts. IUKM 2020: 137-150 - [c69]Thanh-Phu Nguyen, Van-Nam Huynh:
A New Classification Technique Based on the Combination of Inner Evidence. IUKM 2020: 174-186 - [c68]Ba-Hung Nguyen, Kiyoaki Shirai, Van-Nam Huynh:
Topics in Financial Filings and Bankruptcy Prediction with Distributed Representations of Textual Data. ECML/PKDD (5) 2020: 306-322 - [e16]Van-Nam Huynh, Tomoe Entani, Chawalit Jeenanunta, Masahiro Inuiguchi, Pisal Yenradee:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 8th International Symposium, IUKM 2020, Phuket, Thailand, November 11-13, 2020, Proceedings. Lecture Notes in Computer Science 12482, Springer 2020, ISBN 978-3-030-62508-5 [contents]
2010 – 2019
- 2019
- [j54]Tuan Minh Tran, Xuan-May Thi Le, Hien T. Nguyen, Van-Nam Huynh:
A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging. Eng. Appl. Artif. Intell. 78: 173-185 (2019) - [j53]Hongbin Yan, Xiang-Sheng Meng, Tieju Ma, Van-Nam Huynh:
An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service. IISE Trans. 51(11): 1167-1189 (2019) - [j52]Van-Nam Huynh:
Uncertainty Management in Machine Learning Applications. Int. J. Approx. Reason. 107: 79-80 (2019) - [j51]Warut Pannakkong, Van-Nam Huynh, Songsak Sriboonchitta:
A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting. Int. J. Comput. Intell. Syst. 12(2): 1047-1061 (2019) - [c67]Thananut Phiboonbanakit, Van-Nam Huynh, Teerayut Horanont, Thepchai Supnithi:
Detecting abnormal behavior in the transportation planning using long short term memories and a contextualized dynamic threshold. UbiComp/ISWC Adjunct 2019: 996-1007 - [c66]Jonathan Lawry, Van-Nam Huynh, Chris A. McMahon:
Three Valued Representation of Opinions in Affective Design. IUKM 2019: 109-121 - [c65]Xiaoyu Tang, Wei Ou, Van-Nam Huynh:
Averaged Logits: An Weakly-Supervised Approach to Use Ratings to Train Sentence-Level Sentiment Classifiers. IUKM 2019: 308-319 - [c64]Thang Tran, Hung Ba, Van-Nam Huynh:
Measuring Hotel Review Sentiment: An Aspect-Based Sentiment Analysis Approach. IUKM 2019: 393-405 - [c63]Chau-Phuc-Thinh Phan, Anh Hoang, Doan-Phuc Phan, Huu-Hung Dao, Van-Nam Huynh:
Human Density Estimation by Exploiting Deep Spatial Contextual Information. IVCNZ 2019: 1-5 - [c62]Nguyen Duy Hung, Van-Nam Huynh:
Learning Individual and Group Preferences in Abstract Argumentation. PRICAI (1) 2019: 704-717 - [e15]Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 7th International Symposium, IUKM 2019, Nara, Japan, March 27-29, 2019, Proceedings. Lecture Notes in Computer Science 11471, Springer 2019, ISBN 978-3-030-14814-0 [contents] - 2018
- [j50]Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh:
An efficient algorithm for mining periodic high-utility sequential patterns. Appl. Intell. 48(12): 4694-4714 (2018) - [j49]Wei Ou, Van-Nam Huynh, Songsak Sriboonchitta:
Training attractive attribute classifiers based on opinion features extracted from review data. Electron. Commer. Res. Appl. 32: 13-22 (2018) - [j48]Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger:
An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reason. 95: 77-92 (2018) - [j47]Thanh Quynh Le, Van-Nam Huynh:
Grading Sewing Operator Skill Using Principal Component Analysis and Ordinal Logistic Regression. Int. J. Knowl. Syst. Sci. 9(2): 28-44 (2018) - [j46]Sirin Suprasongsin, Pisal Yenradee, Van-Nam Huynh, Chayakrit Charoensiriwath:
Suitable Aggregation Models Based on Risk Preferences for Supplier Selection and Order Allocation Problem. J. Adv. Comput. Intell. Intell. Informatics 22(1): 5-16 (2018) - [j45]Wei Ou, Van-Nam Huynh:
Joint Aspect Discovery, Sentiment Classification, Aspect-Level Ratings and Weights Approximation for Recommender Systems by Rating Supervised Latent Topic Model. J. Adv. Comput. Intell. Intell. Informatics 22(1): 17-26 (2018) - [j44]Sirin Suprasongsin, Van-Nam Huynh, Pisal Yenradee:
A Three-Dimensional Fuzzy Linguistic Evaluation Model. J. Adv. Comput. Intell. Intell. Informatics 22(5): 767-776 (2018) - [c61]Thananut Phiboonbanakit, Teerayut Horanont, Thepchai Supnithi, Van-Nam Huynh:
Knowledge-Based Learning for Solving Vehicle Routing Problem. UbiComp/ISWC Adjunct 2018: 1103-1111 - [c60]Sadaaki Miyamoto, Van-Nam Huynh, Shuhei Fujiwara:
Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms. IUKM 2018: 75-86 - [c59]Thanh-Phu Nguyen, Mina Ryoke, Van-Nam Huynh:
A New Context-Based Similarity Measure for Categorical Data Using Information Theory. IUKM 2018: 114-125 - [c58]Nhat-Vinh Lu, Van-Nam Huynh, Takaya Yuizono, Trung-Ky Nguyen:
Sensory Quality Assessment of Food Using Active Learning. IUKM 2018: 203-213 - [c57]Randall Mauricio Pérez-Wheelock, Van-Nam Huynh:
Balancing Assembly Lines and Matching Demand Through Worker Reallocations. MDAI 2018: 206-217 - [c56]Sadaaki Miyamoto, Jong Moon Choi, Yasunori Endo, Van-Nam Huynh:
Optimal Clustering with Twofold Memberships. MDAI 2018: 221-231 - [c55]Duy-Tai Dinh, Van-Nam Huynh:
k-CCM: A Center-Based Algorithm for Clustering Categorical Data with Missing Values. MDAI 2018: 267-279 - [c54]Thanh-Phu Nguyen, Duy-Tai Dinh, Van-Nam Huynh:
A New Context-Based Clustering Framework for Categorical Data. PRICAI (1) 2018: 697-709 - [e14]Van-Nam Huynh, Masahiro Inuiguchi, Dang Hung Tran, Thierry Denoeux:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 6th International Symposium, IUKM 2018, Hanoi, Vietnam, March 15-17, 2018, Proceedings. Lecture Notes in Computer Science 10758, Springer 2018, ISBN 978-3-319-75428-4 [contents] - 2017
- [j43]Van-Nam Huynh:
Recent advances of uncertainty management in knowledge modelling and decision making. Ann. Oper. Res. 256(2): 199-202 (2017) - [j42]Wen-Tao Guo, Van-Nam Huynh, Songsak Sriboonchitta:
A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty. Ann. Oper. Res. 256(2): 305-328 (2017) - [j41]Hongbin Yan, Tieju Ma, Songsak Sriboonchitta, Van-Nam Huynh:
A stochastic dominance based approach to consumer-oriented Kansei evaluation with multiple priorities. Ann. Oper. Res. 256(2): 329-357 (2017) - [j40]Van-Doan Nguyen, Songsak Sriboonchitta, Van-Nam Huynh:
Using community preference for overcoming sparsity and cold-start problems in collaborative filtering system offering soft ratings. Electron. Commer. Res. Appl. 26: 101-108 (2017) - [j39]Van-Doan Nguyen, Van-Nam Huynh:
Two-probabilities focused combination in recommender systems. Int. J. Approx. Reason. 80: 225-238 (2017) - [j38]Narongsak Pongsathornwiwat, Van-Nam Huynh, Chawalit Jeenanunta:
Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks. Int. J. Knowl. Syst. Sci. 8(1): 39-52 (2017) - [j37]Jing Sun, Jianguo Wu, Jing Tian, Van-Nam Huynh, Yoshiteru Nakamori:
A Knowledge Management Approach to Evaluation of Ability and Environment for Graduate Research. Int. J. Knowl. Syst. Sci. 8(3): 13-33 (2017) - [j36]Warut Pannakkong, Van Hai Pham, Van-Nam Huynh:
A Novel Hybridization of ARIMA, ANN, and K-Means for Time Series Forecasting. Int. J. Knowl. Syst. Sci. 8(4): 30-53 (2017) - [j35]Sapa Chanyachatchawan, Hongbin Yan, Songsak Sriboonchitta, Van-Nam Huynh:
A linguistic representation based approach to modelling Kansei data and its application to consumer-oriented evaluation of traditional products. Knowl. Based Syst. 138: 124-133 (2017) - [c53]Tai Dinh, Van-Nam Huynh, Bac Le:
Mining Periodic High Utility Sequential Patterns. ACIIDS (1) 2017: 545-555 - [c52]Warut Pannakkong, Van-Nam Huynh:
A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting. MDAI 2017: 159-169 - [c51]Jing Sun, Van-Nam Huynh, Yoshiteru Nakamori, Jianguo Wu, Jing Tian, Jianwen Xiang:
Knowledge Management in Graduate Research. QRS Companion 2017: 480-485 - [e13]Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh:
Robustness in Econometrics. Studies in Computational Intelligence 692, 2017, ISBN 978-3-319-50741-5 [contents] - 2016
- [j34]Fei Meng, Yoshiteru Nakamori, Van-Nam Huynh:
Knowledge-Scientific Evaluation of a Social Service System. Int. J. Knowl. Syst. Sci. 7(4): 60-77 (2016) - [c50]Van-Doan Nguyen, Van-Nam Huynh:
Integrating with Social Network to Enhance Recommender System Based-on Dempster-Shafer Theory. CSoNet 2016: 170-181 - [c49]Thu-Hien Thi Nguyen, Van-Nam Huynh:
A k-Means-Like Algorithm for Clustering Categorical Data Using an Information Theoretic-Based Dissimilarity Measure. FoIKS 2016: 115-130 - [c48]Narongsak Pongsathornwiwat, Van-Nam Huynh, Thanaruk Theeramunkong, Chawalit Jeenanunta:
A linguistic partner evaluation model in tourism supply chain networks. FUZZ-IEEE 2016: 1051-1058 - [c47]Van-Doan Nguyen, Van-Nam Huynh:
On Information Fusion in Recommender Systems Based on Dempster-Shafer Theory. ICTAI 2016: 78-85 - [c46]Van-Doan Nguyen, Van-Nam Huynh:
Noise-Averse Combination Method. ICTAI 2016: 86-90 - [c45]Warut Pannakkong, Van Hai Pham, Van-Nam Huynh:
A Hybrid Model of ARIMA, ANNs and k-Means Clustering for Time Series Forecasting. IUKM 2016: 195-206 - [c44]Wei Ou, Anh-Cuong Le, Van-Nam Huynh:
Estimating Asymmetric Product Attribute Weights in Review Mining. IUKM 2016: 245-254 - [c43]Sirin Suprasongsin, Pisal Yenradee, Van-Nam Huynh:
Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker. MDAI 2016: 68-81 - [c42]Wei Ou, Van-Nam Huynh:
Rating Supervised Latent Topic Model for Aspect Discovery and Sentiment Classification in On-Line Review Mining. MDAI 2016: 151-164 - [c41]Sapa Chanyachatchawan, Hongbin Yan, Songsak Sriboonchitta, Van-Nam Huynh:
A Linguistic Representation Method for Kansei Data. SCIS&ISIS 2016: 194-199 - [c40]Nguyen Bui, Bay Vo, Van-Nam Huynh, Chun-Wei Lin, Loan T. T. Nguyen:
Mining closed high utility itemsets in uncertain databases. SoICT 2016: 7-14 - [p7]Warut Pannakkong, Van-Nam Huynh, Songsak Sriboonchitta:
ARIMA Versus Artificial Neural Network for Thailand's Cassava Starch Export Forecasting. Causal Inference in Econometrics 2016: 255-277 - [e12]Van-Nam Huynh, Masahiro Inuiguchi, Bac Le, Bao Nguyen Le, Thierry Denoeux:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9978, 2016, ISBN 978-3-319-49045-8 [contents] - [e11]Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta:
Causal Inference in Econometrics. Studies in Computational Intelligence 622, Springer 2016, ISBN 978-3-319-27283-2 [contents] - 2015
- [j33]Van-Nam Huynh, Son Bao Pham:
Knowledge and Systems Engineering - KSE 2013: Editorial. Data Knowl. Eng. 96: 1-2 (2015) - [j32]Wen-Tao Guo, Van-Nam Huynh, Yoshiteru Nakamori:
An Interval Linguistic Distribution Model for Multiple Attribute Decision Making Problems with Incomplete Linguistic Information. Int. J. Knowl. Syst. Sci. 6(4): 16-34 (2015) - [c39]Van-Doan Nguyen, Van-Nam Huynh:
A Reliably Weighted Collaborative Filtering System. ECSQARU 2015: 429-439 - [c38]Van-Doan Nguyen, Van-Nam Huynh:
Evidence Combination Focusing on Significant Focal Elements for Recommender Systems. IUKM 2015: 290-302 - [p6]Vu-Linh Nguyen, Van-Nam Huynh:
Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market. Econometrics of Risk 2015: 471-482 - [e10]Van-Nam Huynh, Masahiro Inuiguchi, Thierry Denoeux:
Integrated Uncertainty in Knowledge Modelling and Decision Making - 4th International Symposium, IUKM 2015, Nha Trang, Vietnam, October 15-17, 2015, Proceedings. Lecture Notes in Computer Science 9376, Springer 2015, ISBN 978-3-319-25134-9 [contents] - [e9]Viet-Ha Nguyen, Anh-Cuong Le, Van-Nam Huynh:
Knowledge and Systems Engineering - Proceedings of the Sixth International Conference KSE 2014, Hanoi, Vietnam, 9-11 October 2014. Advances in Intelligent Systems and Computing 326, Springer 2015, ISBN 978-3-319-11679-2 [contents] - [e8]Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta, Komsan Suriya:
Econometrics of Risk. Studies in Computational Intelligence 583, Springer 2015, ISBN 978-3-319-13448-2 [contents] - 2014
- [j31]Hongbin Yan, Tieju Ma, Van-Nam Huynh:
Coping with Group Behaviors in Uncertain Quality Function Deployment. Decis. Sci. 45(6): 1025-1052 (2014) - [j30]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) - [c37]Wen-Tao Guo, Van-Nam Huynh:
A fuzzy linguistic representation model for decision making under uncertainty. IEEM 2014: 29-33 - [c36]Tran-Thai Dang, Nguyen Thi Xuan Huong, Anh-Cuong Le, Van-Nam Huynh:
Automatically Learning Patterns in Subjectivity Classification for Vietnamese. KSE 2014: 629-640 - [c35]Van-Doan Nguyen, Van-Nam Huynh:
A Community-Based Collaborative Filtering System Dealing with Sparsity Problem and Data Imperfections. PRICAI 2014: 884-890 - [e7]Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham:
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference, KSE 2013, Volume 1, Hanoi, Vietnam, 17-19 October, 2013. Advances in Intelligent Systems and Computing 244, Springer 2014, ISBN 978-3-319-02740-1 [contents] - [e6]Van-Nam Huynh, Thierry Denoeux, Dang Hung Tran, Anh-Cuong Le, Son Bao Pham:
Knowledge and Systems Engineering - Proceedings of the Fifth International Conference KSE 2013, Volume 2. Advances in Intelligent Systems and Computing 245, Springer 2014, ISBN 978-3-319-02820-0 [contents] - [e5]Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta:
Modeling Dependence in Econometrics - Selected Papers of the Seventh International Conference of the Thailand Econometric Society, TES 2014, Faculty of Economics, Chiang Mai University, Thailand, January 8-10, 2014. Advances in Intelligent Systems and Computing 251, Springer 2014, ISBN 978-3-319-03394-5 [contents] - 2013
- [j29]Van-Nam Huynh, Vladik Kreinovich:
Uncertainty in financial econometrics: Editorial. Int. J. Approx. Reason. 54(6): 699-700 (2013) - [j28]Hongbin Yan, Van-Nam Huynh, Tieju Ma, Yoshiteru Nakamori:
Non-additive multi-attribute fuzzy target-oriented decision analysis. Inf. Sci. 240: 21-44 (2013) - [c34]Hongbin Yan, Tieju Ma, Van-Nam Huynh:
Applying OWA Operator to Model Group Behaviors in Uncertain QFD. IUKM 2013: 37-49 - [c33]Quang-Hung Le, Duy Cuong Nguyen, Duc-Hong Pham, Anh-Cuong Le, Van-Nam Huynh:
Paragraph Alignment for English-Vietnamese Parallel E-Books. KSE (2) 2013: 251-259 - [c32]Quang-Hung Le, Anh-Cuong Le, Van-Nam Huynh:
Parallel phrase extraction from English-Vietnamese parallel corpora. RIVF 2013: 175-179 - [e4]Zengchang Qin, Van-Nam Huynh:
Integrated Uncertainty in Knowledge Modelling and Decision Making - International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013. Proceedings. Lecture Notes in Computer Science 8032, Springer 2013, ISBN 978-3-642-39514-7 [contents] - 2012
- [j27]Van-Nam Huynh, Jonathan Lawry, Yoshiteru Nakamori:
Integrated uncertainty management for decision making. Ann. Oper. Res. 195(1): 1-4 (2012) - [j26]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts. Ann. Oper. Res. 195(1): 325-354 (2012) - [j25]Van-Nam Huynh, Sadaaki Miyamoto, Yoshiteru Nakamori:
An extension of context model for representing vague knowledge. Int. J. Reason. based Intell. Syst. 4(3): 171-179 (2012) - 2011
- [j24]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai:
On prioritized weighted aggregation in multi-criteria decision making. Expert Syst. Appl. 38(1): 812-823 (2011) - [j23]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
A probabilistic model for linguistic multi-expert decision making involving semantic overlapping. Expert Syst. Appl. 38(7): 8901-8912 (2011) - [j22]Van-Nam Huynh, Yoshiteru Nakamori:
A Linguistic Screening Evaluation Model in New Product Development. IEEE Trans. Engineering Management 58(1): 165-175 (2011) - [c31]Hongbin Yan, Tieju Ma, Yoshiteru Nakamori, Van-Nam Huynh:
A Computing with Words Based Approach to Multicriteria Energy Planning. IUKM 2011: 48-59 - [c30]Van-Nam Huynh, Hongbin Yan, Mina Ryoke, Yoshiteru Nakamori:
Fuzzy Target-Based Multi-feature Evaluation of Traditional Craft Products. KSEM 2011: 331-342 - [e3]Yongchuan Tang, Van-Nam Huynh, Jonathan Lawry:
Integrated Uncertainty in Knowledge Modelling and Decision Making - International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011. Proceedings. Lecture Notes in Computer Science 7027, Springer 2011, ISBN 978-3-642-24917-4 [contents] - 2010
- [j21]Van-Nam Huynh, Nguyen Thanh Tri, Cuong Anh Le:
Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation. Comput. Speech Lang. 24(3): 461-473 (2010) - [j20]Van-Nam Huynh, Hongbin Yan, Yoshiteru Nakamori:
A Target-Based Decision-Making Approach to Consumer-Oriented Evaluation Model for Japanese Traditional Crafts. IEEE Trans. Engineering Management 57(4): 575-588 (2010) - [j19]Van-Nam Huynh, Yoshiteru Nakamori:
Notes on "Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure". IEEE Trans. Syst. Man Cybern. Part A 40(1): 205-209 (2010) - [c29]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
Linguistic Multi-Expert Decision Making Involving Semantic Overlapping. IUM 2010: 281-292 - [c28]Tru Hoang Cao, Van-Nam Huynh:
Combination of Uncertain Class Membership Degrees with Probabilistic, Belief, and Possibilistic Measures. IUM 2010: 383-394 - [c27]Van-Nam Huynh, Yoshiteru Nakamori, Hongbin Yan:
A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data. KSEM 2010: 160-173 - [e2]Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry, Masahiro Inuiguchi:
Integrated Uncertainty Management and Applications [revised papers from the International Symposium on Integrated Uncertainty Management and Applications, IUM 2010, Ishikawa, Japan, April 9-11, 2010]. Advances in Intelligent and Soft Computing 68, Springer 2010, ISBN 978-3-642-11959-0 [contents]
2000 – 2009
- 2009
- [j18]Van-Nam Huynh, Vladik Kreinovich:
Interval/Probabilistic Uncertainty: Editorial. Int. J. Approx. Reason. 50(8): 1149-1150 (2009) - [c26]Van-Nam Huynh, Yoshiteru Nakamori, Chenyi Hu, Vladik Kreinovich:
On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making. ISMVL 2009: 214-220 - [c25]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
Target-Oriented Decision Analysis with Different Target Preferences. MDAI 2009: 182-193 - [c24]Van-Nam Huynh:
Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion. MDAI 2009: 217-230 - [c23]Van-Nam Huynh, Hongbin Yan, Yoshiteru Nakamori:
Decision Analysis with Hybrid Uncertain Performance Targets. SMC 2009: 4360-4365 - [c22]Akio Hiramatsu, Van-Nam Huynh, Yoshiteru Nakamori:
Decision Making Using Early Warning Information on Extreme Weather. SMC 2009: 4668-4672 - 2008
- [j17]Anh-Cuong Le, Akira Shimazu, Van-Nam Huynh, Minh Le Nguyen:
Semi-supervised learning integrated with classifier combination for word sense disambiguation. Comput. Speech Lang. 22(4): 330-345 (2008) - [j16]Hongbin Yan, Van-Nam Huynh, Tetsuya Murai, Yoshiteru Nakamori:
Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis. Inf. Sci. 178(21): 4080-4093 (2008) - [j15]Akio Hiramatsu, Van-Nam Huynh, Yoshiteru Nakamori:
A Behavioral Decision Model Based on Fuzzy Targets in Decision Making Using Weather Information. J. Adv. Comput. Intell. Intell. Informatics 12(5): 435-442 (2008) - [j14]Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry:
A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. IEEE Trans. Fuzzy Syst. 16(2): 371-387 (2008) - [c21]Van-Nam Huynh, Yoshiteru Nakamori:
Two-tuple linguistic screening evaluation at the front end in new product development. SMC 2008: 1770-1775 - [p5]Mina Ryoke, Yoshiteru Nakamori, Van-Nam Huynh:
Personalized Recommendation for Traditional Crafts Using Fuzzy Correspondence Analysis with Kansei Data and OWA Operator. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 311-325 - [p4]Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 326-340 - [p3]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai:
Decision Analysis with Fuzzy Targets. Intelligent Decision Making: An AI-Based Approach 2008: 135-155 - [p2]Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori:
An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 493-515 - [e1]Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen:
Interval / Probabilistic Uncertainty and Non-Classical Logics. Advances in Soft Computing 46, Springer 2008, ISBN 978-3-540-77663-5 [contents] - 2007
- [j13]Cuong Anh Le, Van-Nam Huynh, Akira Shimazu, Yoshiteru Nakamori:
Combining classifiers for word sense disambiguation based on Dempster-Shafer theory and OWA operators. Data Knowl. Eng. 63(2): 381-396 (2007) - [j12]Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu Bao Ho:
Decision making under uncertainty with fuzzy targets. Fuzzy Optim. Decis. Mak. 6(3): 255-278 (2007) - [j11]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai:
An Algebraic Foundation for Linguistic Reasoning. Fundam. Informaticae 78(2): 271-294 (2007) - [c20]Akio Hiramatsu, Van-Nam Huynh, Yoshiteru Nakamori:
A Behavioral Analysis in Decision Making Using Weather Information with the Fuzzy Target Based Decision Model. MDAI 2007: 68-79 - [c19]Van-Nam Huynh, Vladik Kreinovich, Yoshiteru Nakamori, Hung T. Nguyen:
Towards Efficient Prediction of Decisions under Interval Uncertainty. PPAM 2007: 1372-1381 - [c18]Van-Nam Huynh, Yoshiteru Nakamori:
Group decision making with linguistic information using a probability-based approach and OWA operators. SMC 2007: 570-575 - [p1]Wieslaw Traczyk, Andrzej P. Wierzbicki, Van-Nam Huynh:
Knowledge Representation and Multiple Criteria Aggregation. Creative Environments 2007: 281-320 - 2006
- [j10]Anh-Cuong Le, Akira Shimazu, Van-Nam Huynh:
Word Sense Disambiguation by Combining Classifiers with an Adaptive Selection of Context Representation. Inf. Media Technol. 1(2): 973-993 (2006) - [j9]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Tetsuya Murai:
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited. IEEE Trans. Syst. Man Cybern. Part A 36(4): 804-822 (2006) - [c17]Van-Nam Huynh, Yoshiteru Nakamori, Mina Ryoke, Tu-Bao Ho:
A Fuzzy Target Based Model for Decision Making Under Uncertainty. FUZZ-IEEE 2006: 1611-1618 - [c16]Anh-Cuong Le, Van-Nam Huynh, Akira Shimazu, Hieu-Chi Dam:
Weighted combination of classifiers for word sense disambiguation based on dempster-shafer theory. RIVF 2006: 133-138 - [c15]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho:
Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. RSCTC 2006: 296-305 - 2005
- [j8]Sayoko Kawano, Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori:
A context-dependent knowledge model for evaluation of regional environment. Environ. Model. Softw. 20(3): 343-352 (2005) - [j7]Van-Nam Huynh, Yoshiteru Nakamori:
A roughness measure for fuzzy sets. Inf. Sci. 173(1-3): 255-275 (2005) - [j6]Van-Nam Huynh, Yoshiteru Nakamori:
A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments. IEEE Trans. Syst. Man Cybern. Part B 35(2): 184-196 (2005) - [c14]Van-Nam Huynh, Cat Ho Nguyen, Yoshiteru Nakamori:
MEDM in general multi-granular hierarchical linguistic contexts based on the 2-tuples linguistic model. GrC 2005: 482-487 - [c13]Van-Nam Huynh, Yoshiteru Nakamori:
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model. HICSS 2005 - [c12]Cuong Anh Le, Van-Nam Huynh, Akira Shimazu:
An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation. MLDM 2005: 516-525 - [c11]Cuong Anh Le, Van-Nam Huynh, Akira Shimazu:
Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation. PAKDD 2005: 262-268 - [c10]Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori:
An Extension of Rough Approximation Quality to Fuzzy Classification. RSFDGrC (1) 2005: 373-382 - [c9]Cuong Anh Le, Van-Nam Huynh, Hieu-Chi Dam, Akira Shimazu:
Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation. RSFDGrC (1) 2005: 512-521 - 2004
- [j5]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi:
A context model for fuzzy concept analysis based upon modal logic. Inf. Sci. 160(1-4): 111-129 (2004) - [j4]Shigemasa Suganuma, Van-Nam Huynh, Yoshiteru Nakamori, Shouyang Wang:
A Fuzzy Set Based Approach to Generalized Landscape Theory of Aggregation. New Gener. Comput. 23(1): 57-66 (2004) - [c8]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho:
Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty: Orthogonal Versus Weighted Sum. ASIAN 2004: 109-127 - [c7]Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai, Tu Bao Ho:
A New Approach to Belief Modeling. FoIKS 2004: 196-230 - [c6]Van-Nam Huynh, Yoshiteru Nakamori:
An approach to roughness of fuzzy sets. FUZZ-IEEE 2004: 115-120 - [c5]Van-Nam Huynh, Yoshiteru Nakamori:
A context-based interpretation of linguistic variables. FUZZ-IEEE 2004: 257-262 - [c4]Tetsuya Murai, Yasuo Kudo, Van-Nam Huynh, Akira Tanaka, Mineichi Kudo:
A note on fuzzy granular reasoning. FUZZ-IEEE 2004: 263-268 - [c3]Van-Nam Huynh, Yoshiteru Nakamori:
A Framework for Representation and Manipulation of Vague Knowledge. MDAI 2004: 295-305 - 2003
- [c2]Van-Nam Huynh, Mina Ryoke, Yoshiteru Nakamori, Tu Bao Ho:
Fuzziness and Uncertainty within the Framework of Context Model. IFSA 2003: 219-228 - 2002
- [j3]Nguyen Cat Ho, Van-Nam Huynh:
An algebraic approach to linguistic hedges in Zadeh's fuzzy logic. Fuzzy Sets Syst. 129(2): 229-254 (2002) - [j2]Van-Nam Huynh, Tu Bao Ho, Yoshiteru Nakamori:
A parametric representation of linguistic hedges in Zadeh's fuzzy logic. Int. J. Approx. Reason. 30(3): 203-223 (2002) - [c1]Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho, Germano Resconi:
A Context Model for Constructing Membership Functions of Fuzzy Concepts Based on Modal Logic. FoIKS 2002: 93-104
1990 – 1999
- 1999
- [j1]Cat Ho Nguyen, Dinh-Khang Tran, Van-Nam Huynh, Hai-Chau Nguyen:
Hedge Algebras, Linguistic-Valued Logic and Their Application to Fuzzy Reasoning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7(4): 347-361 (1999)
Coauthor Index
[j37] [c51] [j34] [j32] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [c31] [c30] [j20] [j19] [c29] [c27] [e2] [c26] [c25] [c23] [c22] [j16] [j15] [j14] [c21] [p5] [p4] [p3] [p2] [e1] [j13] [j12] [j11] [c20] [c19] [c18] [j9] [c17] [c15] [j8] [j7] [j6] [c14] [c13] [c10] [j5] [j4] [c8] [c7] [c6] [c5] [c3] [c2] [j2] [c1]
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