Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets

被引：272

作者：

Ashtiani, Behzad ^{[1
]}

Haghighirad, Farzad ^{[2
]}

Makui, Ahmad ^{[1
]}

Montazer, Golam Ali ^{[2
]}

机构：

[1] Iran Univ Sci & Technol, Dept Ind Engn, Tehran 1684613114, Iran

[2] Tarbiat Modares Univ, Dept Ind Engn, Tehran, Iran

来源：

APPLIED SOFT COMPUTING | 2009年 / 9卷 / 02期

关键词：

TOPSIS; Multi criteria decision making; Interval-valued fuzzy set; DECISION-MAKING;

D O I：

10.1016/j.asoc.2008.05.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Decision making is one of the most complex administrative processes in management. In circumstances where the members of the decision making team are uncertain in determining and defining the decision making criteria, fuzzy theory provides a proper tool to encounter with such uncertainties. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper the interval-valued fuzzy TOPSIS method is presented aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy sets concepts. (c) 2008 Elsevier B.V. All rights reserved.

引用

页码：457 / 461

页数：5

共 24 条

[1] Extensions of TOPSIS for multi-objective large-scale nonlinear programming problems [J].