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  2020, Vol. 33 Issue (7): 610-618    DOI: 10.16451/j.cnki.issn1003-6059.202007004
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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.
Key wordsHesitant Fuzzy Sets      Distance Measure      Conflict Analysis      Three-Way Decision     
Received: 15 June 2020     
ZTFLH: O 159  
Fund:Supported by National Natural Science Foundation of China(No.61772019)
Corresponding Authors: LI Xiaonan, Ph.D., associate professor. His research interests include fuzzy set, rough set, three-way decision, matroid and conflict analysis.   
About author:: ZHANG Huimin, master student. Her research interests include fuzzy set, rough set, three-way decision and conflict analysis.
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ZHANG Huimin,LI Xiaonan. Hesitant Fuzzy Multi-attribute Decision Making Based on Conflict Analysis[J]. , 2020, 33(7): 610-618.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202007004      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2020/V33/I7/610
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