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| Hesitant Fuzzy Multi-attribute Decision Making Based on Conflict Analysis |
| ZHANG Huimin1, LI Xiaonan1 |
| 1. School of Mathematics and Statistics, Xidian University, Xi'an 710071 |
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Abstract Defining distance measure and calculating attribute weight are two key points of multi-attribute decision making based on hesitant fuzzy distance. During the process of defining distance measure of two hesitant fuzzy numbers, the original meaning of the shorter hesitant fuzzy number is changed when some same elements are added to it. In this paper, two hesitant fuzzy numbers are extended to the same length simultaneously. Then, the conflict analysis model of hesitant fuzzy information system is established according to the conflict analysis theory by Pawlak, and the method for calculating attribute weights based on the degree of conflict is proposed. Finally, the specific method of multi-attribute decision-making under hesitant fuzzy information systems is presented. The effectiveness and the feasibility of the proposed method are exemplified on the basis of a case study on a enterprise development plan.
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Received: 15 June 2020
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| Fund:Supported by National Natural Science Foundation of China(No.61772019) |
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Corresponding Authors:
LI Xiaonan, Ph.D., associate professor. His research interests include fuzzy set, rough set, three-way decision, matroid and conflict analysis.
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| About author:: ZHANG Huimin, master student. Her research interests include fuzzy set, rough set, three-way decision and conflict analysis. |
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2020, Vol. 33 
