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2020 – today
- 2023
[j26]Sin-Jin Lin, Te-Min Chang, Ming-Fu Hsu:
Valuing and Risk Analysis for Supply Chain Management: A Fusion Approach. J. Glob. Inf. Manag. 31(1): 1-25 (2023)- [j25]Fu-Hsiang Chen, Kuang-Hua Hu, Sin-Jin Lin, Ming-Fu Hsu:
A Decision Framework for Assessing and Improving the Barriers of Blockchain Technology Adoption. J. Glob. Inf. Manag. 31(7): 1-34 (2023) - 2022
- [j24]Ming-Fu Hsu
, Ying-Shao Hsin, Fu-Jiing Shiue:
Business analytics for corporate risk management and performance improvement. Ann. Oper. Res. 315(2): 629-669 (2022) - [j23]Fu-Hsiang Chen, Ming-Fu Hsu, Kuang-Hua Hu:
Enterprise's internal control for knowledge discovery in a big data environment by an integrated hybrid model. Inf. Technol. Manag. 23(3): 213-231 (2022) - [j22]Te-Min Chang, Sin-Jin Lin, Ming-Fu Hsu, Min-Lang Yang:
Incorporating soft information from financial news media for management decisions in dynamic business environments. J. Intell. Fuzzy Syst. 43(4): 4947-4960 (2022) - 2021
- [j21]Kuang-Hua Hu, Fu-Hsiang Chen, Ming-Fu Hsu, Shuyi Yao, Ming-Chin Hung:
Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System. Axioms 10(2): 61 (2021) - [j20]Hsueh-Li Huang, Sin-Jin Lin, Ming-Fu Hsu:
An Advanced Decision Making Framework via Joint Utilization of Context-Dependent Data Envelopment Analysis and Sentimental Messages. Axioms 10(3): 179 (2021) - [j19]Kuang-Hua Hu, Fu-Hsiang Chen, Ming-Fu Hsu, Gwo-Hshiung Tzeng:
Construction of an AI-Driven Risk Management Framework for Financial Service Firms Using the MRDM Approach. Int. J. Inf. Technol. Decis. Mak. 20(3): 1037-1069 (2021) - [j18]Ming-Fu Hsu, Sin-Jin Lin:
A BSC-based network DEA model equipped with computational linguistics for performance assessment and improvement. Int. J. Mach. Learn. Cybern. 12(9): 2479-2497 (2021) - 2020
- [j17]Kuang-Hua Hu, Sin-Jin Lin, Ming-Fu Hsu, Fu-Hsiang Chen:
A dynamic network-based decision architecture for performance evaluation and improvement. J. Intell. Fuzzy Syst. 39(3): 4299-4311 (2020)
2010 – 2019
- 2019
- [j16]Ming-Fu Hsu:
A Fusion Mechanism for Management Decision and Risk Analysis. Cybern. Syst. 50(6): 497-515 (2019) - [j15]Ming-Fu Hsu:
Integrated multiple-attribute decision making and kernel-based mechanism for risk analysis and evaluation. J. Intell. Fuzzy Syst. 36(3): 2895-2905 (2019) - [j14]Sin-Jin Lin, Te-Min Chang, Ming-Fu Hsu:
An emerging online business decision making architecture in a dynamic economic environment. J. Intell. Fuzzy Syst. 37(2): 1893-1903 (2019) - [c12]Pamyl Chou, Paul Jehnley Chou, Ming-Fu Hsu, Te-Min Chang, Fu-Hsiang Chen, Sin-Jin Lin:
Integrated Annual Report Readability and Dominance-based Rough Set Theory to Forecast Corporate's Operating Performance. GCCE 2019: 602-604 - [c11]Te-Min Chang, Fu-Hsiang Chen, Sin-Jin Lin, Ming-Fu Hsu:
Integrated Multiple DEA Specifications and Visualization Technique for Advanced Management Analysis and Decision. MDM 2019: 491-496 - 2018
- [j13]Te-Min Chang, Ming-Fu Hsu, Sin-Jin Lin:
Integrated news mining technique and AI-based mechanism for corporate performance forecasting. Inf. Sci. 424: 273-286 (2018) - [j12]Ming-Fu Hsu, Ching-Chiang Yeh, Sin-Jin Lin:
Integrating dynamic Malmquist DEA and social network computing for advanced management decisions. J. Intell. Fuzzy Syst. 35(1): 231-241 (2018) - [j11]Te-Min Chang, Ming-Fu Hsu:
Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management. Int. J. Mach. Learn. Cybern. 9(3): 477-489 (2018) - [c10]Fu-Hsiang Chen, Te-Min Chang, Sin-Jin Lin, Ming-Fu Hsu:
The Impact of CSR's Multi-dimensions on Performance Assessment: A Joint Utilization of Latent Topic Modelling and Support Vector Machine. SMC 2018: 3690-3694 - 2017
- [j10]Sin-Jin Lin, Ming-Fu Hsu:
Incorporated risk metrics and hybrid AI techniques for risk management. Neural Comput. Appl. 28(11): 3477-3489 (2017) - [c9]Fu-Hsiang Chen, Jhih-Hong Zeng, Ming-Fu Hsu, Sin-Jin Lin:
Management decision by combination two-level DEA and kernel-based mechanism. IFSA-SCIS 2017: 1-5 - [c8]Te-Ming Chang, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin:
Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge. PACIS 2017: 35 - 2016
- [c7]Yushan Hsu, Ming-Fu Hsu, Sin-Jin Lin:
Corporate risk estimation by combining machine learning technique and risk measure. ICIS 2016: 1-4 - [c6]Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin:
Salient corporate performance forecasting based on financial and textual information. SMC 2016: 959-964 - 2015
- [j9]Ping-Feng Pai, Yi-Shien Tan, Ming-Fu Hsu:
Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies. Int. J. Fuzzy Syst. 17(4): 521-530 (2015) - [c5]Jen-Her Wu, Shin-Shing Shin, Te-Min Chang, Alok Gupta, Ming-Fu Hsu:
Ex-Ante PLM Misfit Analysis Methodology: A Cognitive Fit Approach. PACIS 2015: 139 - [c4]Te-Min Chang, Chao-Hsien Sung, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin:
Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks. SmartCity 2015: 261-266 - 2014
- [j8]Sin-Jin Lin, Chang-Sheng Wang, Ming-Fu Hsu:
Selection of Multiple Combination Strategies for Risk Assessment. Cybern. Syst. 45(8): 622-634 (2014) - [j7]Sin-Jin Lin, Ming-Fu Hsu:
Enhanced risk management by an emerging multi-agent architecture. Connect. Sci. 26(3): 245-259 (2014) - [j6]Ping-Feng Pai, Ming-Fu Hsu, Lin Lin:
Enhancing decisions with life cycle analysis for risk management. Neural Comput. Appl. 24(7-8): 1717-1724 (2014) - 2013
- [j5]Sin-Jin Lin, Chingho Chang, Ming-Fu Hsu:
Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction. Knowl. Based Syst. 39: 214-223 (2013) - 2012
- [j4]Tsui Chih Wu, Ming-Fu Hsu:
Credit risk assessment and decision making by a fusion approach. Knowl. Based Syst. 35: 102-110 (2012) - 2011
- [j3]Ping-Feng Pai, Ya-Hsin Chang, Ming-Fu Hsu, Jachih Fu, Hsin-Hua Chen:
A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome. Int. J. Math. Model. Numer. Optimisation 2(1): 98-108 (2011) - [j2]Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang:
A support vector machine-based model for detecting top management fraud. Knowl. Based Syst. 24(2): 314-321 (2011) - [p1]Ping-Feng Pai, Ming-Fu Hsu:
An Enhanced Support Vector Machines Model for Classification and Rule Generation. Computational Optimization, Methods and Algorithms 2011: 241-258 - 2010
- [j1]Ching-Chiang Yeh, Der-Jang Chi, Ming-Fu Hsu:
A hybrid approach of DEA, rough set and support vector machines for business failure prediction. Expert Syst. Appl. 37(2): 1535-1541 (2010) - [c3]Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang:
Computer-assisted audit techniques based on an enhanced rough set model. NCM 2010: 207-212
2000 – 2009
- 2006
- [c2]Mu-Chen Chen, Kai-Ying Chen, Ming-Fu Hsu, Cheng-Tah Yeh:
A Web Services Based Collaborative Management Framework for Semiconductor Equipment. SMC 2006: 3784-3789 - 2005
- [c1]Mu-Chen Chen, Cheng-Lung Huang, Hsiao-Pin Wu, Ming-Fu Hsu, Fei-Hou Hsu:
A Data Mining Technique to Grouping Customer Orders in Warehouse Management System. WSTST 2005: 1063-1070
Coauthor Index
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