On Hesitant Fuzzy Sets and Decision

被引:1022
|
作者
Torra, Vicenc [1 ]
Narukawa, Yasuo [2 ]
机构
[1] CSIC, IIIA, Campus UAB S-N, Bellaterra 08193, Spain
[2] Toho Gakuen, Tokyo 1860004, Japan
关键词
INTERVAL-VALUED FUZZY; TERMINOLOGICAL DIFFICULTIES; DISTANCES; ENTROPY;
D O I
10.1109/FUZZY.2009.5276884
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Intuitionistic Fuzzy Sets (IFS) are a generalization of fuzzy sets where the membership is an interval. That is, membership, instead of being a single value, is an interval. A large number of operations have been defined for this type of fuzzy sets, and several applications have been developed in the last years. In this paper we describe hesitant fuzzy sets. They are another generalization of fuzzy sets. Although similar in intention to IFS, some basic differences on their interpretation and on their operators exist. In this paper we review their definition, the main results and we present an extension principle, which permits to generalize existing operations on fuzzy sets to this new type of fuzzy sets. We also discuss their use in decision making.
引用
收藏
页码:1378 / +
页数:2
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