Similarity computation of fuzzy membership function pairs with similarity measure

被引：0
|
作者：
Park, Dong-hyuck [1 ]
Lee, Sang H. [1 ]
Song, Eui-Ho [1 ]
Ahn, Daekeon [1 ]
机构：
[1] Changwon Natl Univ, Sch Mecatron, 9 Sarim Dong, Chang Won 641773, Gyeongnam, South Korea
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2007年 / 4682卷
关键词：
similarity measure; distance; fuzzy number;
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 similarity computations for fuzzy membership function pairs are carried out. Similarity measure is proposed for the general fuzzy sets. Obtained similarity measure has the inverse meaning of fuzzy entropy, and the proposed similarity measure is also constructed through distance measure. Finally similarity computation results are computed for the various membership function pairs.
引用
收藏
页码：485 / 492
页数：8
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