New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions

被引：0
|
作者：
Li, DF
Cheng, CT [1 ]
机构：
[1] Dalian Univ Technol, Dept Civil Engn, Dalian 116024, Liaoning, Peoples R China
[2] Dalian Naval Acad, Dept 2, Dalian 116018, Liaoning, Peoples R China
来源：
PATTERN RECOGNITION LETTERS | 2002年 / 23卷 / 1-3期
关键词：
fuzzy sets; intuitionistic fuzzy sets; similarity measure; pattern recognition;
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：
The concept of an intuitionistic fuzzy set (IFS), which is a generalization of the concept of a fuzzy set (FS), has been introduced by K. Atanassov. Although many measures of similarity, between FSs have been proposed in the literature, those measures cannot deal with the similarity measures between IFSs. In this paper, first, the definition of the degree of similarity between IFSs is introduced. Then, several new similarity measures between IFSs are proposed and corresponding proofs are given. Finally, the similarity measures of IFSs are applied to pattern recognitions. (C) 2002 Elsevier Science B.V. All rights reserved.
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页码：221 / 225
页数：5
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