New similarity measures on intuitionistic fuzzy sets

被引：0

作者：

Park, Jin Han ^{[1
]}

Park, Jong Seo ^{[2
]}

Kwun, Young Chel ^{[3
]}

Lim, Ki Moon ^{[1
]}

机构：

[1] Pukyong Natl Univ, Div Math Sci, Pusan, South Korea

[2] Chinju Natl Univ Educ, Dept Math Educ, Chinju 660756, South Korea

[3] Dong A Univ, Dept Math, Pusan 604714, South Korea

来源：

FUZZY INFORMATION AND ENGINEERING, PROCEEDINGS | 2007年 / 40卷

关键词：

intuitionistic fuzzy set; 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：

Intuitionistic fuzzy sets, proposed by Atanassov, have gained attention from researchers for their applications in various fields. Then similarity measures between intuitionistic fuzzy sets were developed. In this paper, some examples are applied to show that some existing similarity measures are not effective in some cases. Then, based on the kind of geometrical background, we propose several new similarity measures of IFSs in which we consider three parameters describing a IFS. Finally, we apply these measures to pattern recognition.

引用

页码：22 / +

页数：3

共 15 条

[1] NEW OPERATIONS DEFINED OVER THE INTUITIONISTIC FUZZY-SETS [J].