An approach to group decision making based on interval fuzzy preference relations

被引：26

作者：

Jiang, Yunliang ^{[1
,2
]}

机构：

[1] Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China

[2] Zhejiang Univ, Inst Artificial Intelligence, Hangzhou 310027, Peoples R China

来源：

JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING | 2007年 / 16卷 / 01期

基金：

中国国家自然科学基金;

关键词：

group decision making; interval fuzzy preference relation; similarity index; aggregation;

D O I：

10.1007/s11518-006-5026-2

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

In this paper, we investigate group decision making problems where the decision information given by decision makers takes the form of interval fuzzy preference relations. We first give an index to measure the similarity degree of two interval fuzzy preference relations, and utilize the similarity index to check the consistency degree of group opinion. Furthermore, we use the error-propagation principle to determine the priority vector of the aggregated matrix, and then develop an approach to group decision making based on interval fuzzy preference relations. Finally, we give an example to illustrate the developed approach.

引用

页码：113 / 120

页数：8

共 24 条

[11]

Kacprzyk J., 1990, Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

[12] Robust estimation of priorities in the AHP [J].