The revised method of ranking LR fuzzy number based on deviation degree

被引：80

作者：

Asady, B. ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Math, Arak Branch, Arak, Iran

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 07期

关键词：

Defuzzification; Fuzzy number; Ranking; LR method; DECISION-MAKING; REASONABLE PROPERTIES; DISTANCE; SUBSETS; INDEX; SET;

D O I：

10.1016/j.eswa.2009.12.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently. Wang, Liu, Fan, and Feng (in press) proposed an approach to overcome the limitations of the existing studies and simplify the computational procedures based on the LR deviation degree of fuzzy number. However, there were some problems with the ranking method. In this paper, we want to indicate these problems of Z.-X. Wang's method and then propose a revised method which can avoid these problems for ranking fuzzy numbers. Since the revised method is based on the Z.-X. Wang's method, it is easy to rank fuzzy numbers in a way similar to the original method. The method is illustrated by numerical examples and compared with other methods. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：5056 / 5060

页数：5

共 38 条

[1] Ranking of fuzzy numbers by sign distance [J].