An extension to fuzzy MCDM

被引：54

作者：

Chu, Ta-Chung ^{[1
]}

Lin, Yichen ^{[1
]}

机构：

[1] Natl Univ Tainan, Grad Inst Technol Management, Taipei, Taiwan

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2009年 / 57卷 / 03期

关键词：

Fuzzy MCDM; Normalization; Riemann integral; Mean of removals; DECISION-MAKING; REASONABLE PROPERTIES; RANKING; NUMBERS; SELECTION; LOCATION; IDEAL; AREA;

D O I：

10.1016/j.camwa.2008.10.076

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

An extension to the fuzzy multiple criteria decision making (MCDM) model is suggested in this work, where the ratings of alternatives versus criteria, and the importance weights of all criteria, are assessed in linguistic values represented by fuzzy numbers. Moreover, values of alternatives under objective criteria are normalized by a suggested approach. Meanwhile, the membership function of the final fuzzy evaluation value of each alternative can be developed. In addition, a Riemann integral based mean of removals is suggested to rank all the final fuzzy evaluation values for final decision making, so that the ranking procedure can be clearly formulated. Finally, a numerical example demonstrates the feasibility of the proposed model. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：445 / 454

页数：10

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