A new similarity measure of generalized fuzzy numbers and its application to pattern recognition

被引：64

作者：

Deng, Y ^{[1
]}

Shi, WK

Du, F

Liu, Q

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect & Informat Technol, Shanghai 200030, Peoples R China

[2] Chinese Acad Sci, Shanghai Inst Biol Sci, Shanghai 200031, Peoples R China

来源：

PATTERN RECOGNITION LETTERS | 2004年 / 25卷 / 08期

关键词：

fuzzy numbers; similarity measure; pattern recognition;

D O I：

10.1016/j.patrec.2004.01.019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new method to measure the degree of similarity between generalized fuzzy numbers is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the new similarity measure can overcome the drawbacks of the existing methods. Finally, the proposed similarity measure is applied to pattern recognition. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：875 / 883

页数：9

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