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

被引：37

作者：

Hajjari, T. ^{[2
]}

Abbasbandy, S. ^{[1
]}

机构：

[1] Islamic Azad Univ, Sci & Res Branch, Dept Math, Tehran 14515775, Iran

[2] Islamic Azad Univ, Firoozkooh Branch, Dept Math, Firoozkooh, Iran

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 10期

关键词：

Defuzzification; Fuzzy numbers; LR fuzzy numbers; Ranking of fuzzy numbers;

D O I：

10.1016/j.eswa.2011.04.081

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, Asady [(2010). The revised method of ranking LR fuzzy number based on deviation degree. Expert Systems with Applications, 37, 5056-5060] pointed out that Wang et al.'s method has some drawback by a numerical example and then Wang's method is modified to present an easy way to rank fuzzy numbers. In this note, we will indicate that Asady's revision has a shortcoming exactly as the same as Wang's method. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：13491 / 13492

页数：2