Similarity measures for intuitionistic fuzzy sets: State of the art

被引：57

作者：

Baccour, Leila ^{[1
]}

Alimi, Adel M. ^{[1
]}

John, Robert I. ^{[2
]}

机构：

[1] Univ Sfax, REGIM, Natl Engn Sch Sfax ENIS, Sfax 3038, Tunisia

[2] De Montfort Univ, Ctr Computat Intelligence, Leicester LE1 9BH, Leics, England

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2013年 / 24卷 / 01期

关键词：

Similarity measures; distance measures; intuitionistic fuzzy sets; vague sets; interval valued fuzzy sets; VAGUE SETS; DISTANCES;

D O I：

10.3233/IFS-2012-0527

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 gained attention of many researchers and are employed in many axes of research. Thus, different operators are given to deal with intuitionistic fuzzy sets, among them similarity measures. The latter are the object of many propositions and discussions. Our aim is to present several studies on similarity measures between intuitionistic fuzzy sets. Such presentation is very important for different research topics such as pattern recognition, decision making and market prediction.

引用

页码：37 / 49

页数：13

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