A NEW FUZZY MULTIPLE CRITERIA DECISION MAKING METHOD BASED ON LIKELIHOOD-BASED COMPARISON RELATIONS OF HESITANT FUZZY LINGUISTIC TERM SETS AND α-CUTS OF FUZZY SETS

被引：0
|
作者：
Lee, Li-Wei [1 ]
Chen, Shyi-Ming [2 ]
机构：
[1] De Lin Inst Technol, Dept Comp & Commun Engn, New Taipei, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF 2014 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1 | 2014年
关键词：
Fuzzy multiple criteria decision making; Hesitant fuzzy linguistic term sets; Likelihood-based comparison relations;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose the concept of likelihood-based comparison relations of hesitant fuzzy linguistic term sets to compare two hesitant fuzzy linguistic term sets based on alpha-cuts of fuzzy sets. We also propose a new fuzzy multiple criteria decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and the alpha-cuts of fuzzy sets. The proposed fuzzy multiple criteria decision making method has the following advantages: 1) it can overcome the drawback of the existing methods which cannot distinguish the preference order of alternatives in some situations and 2) it allows experts to use a fuzzy target to reflect his/her attitude for increasing the flexibility.
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页码：326 / 331
页数：6
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