A HYBRID FUZZY APPROACH TO FUZZY MULTI-ATTRIBUTE GROUP DECISION-MAKING

被引：33

作者：

Su, Zhi-Xin ^{[1
]}

机构：

[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING | 2011年 / 10卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Fuzzy multi-attribute group decision-making (FMAGDM); linguistic variables; modified VIKOR; modified gray relational analysis (GRA); relative closeness coefficient; reverse logistics; COMPROMISE SOLUTION; MCDM APPROACH; VIKOR METHOD; SELECTION; MODELS; PROJECTS;

D O I：

10.1142/S021962201100452X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper investigates fuzzy multi-attribute group decision-making (FMAGDM) problems. The important weights of the attributes and the ratings of the alternatives with respect to each attribute provided by multiple decision-makers are described by the linguistic variables expressed in triangular fuzzy numbers or trapezoidal fuzzy numbers. A hybrid fuzzy approach is proposed, which assesses each alternative in terms of distance measure calculated by a modified VIKOR method as well as similarity measure calculated by a modified gray relational analysis (GRA) method, to the positive ideal alternative and the negative ideal alternative. A new relative closeness coefficient is established to rank alternatives by aggregating the distance and the similarity measures. Two numerical examples for reverse logistics applications are presented to illustrate the proposed method.

引用

页码：695 / 711

页数：17

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