A DS-AHP approach for multi-attribute decision making problem with incomplete information

被引：85

作者：

Hua, Zhongsheng ^{[1
]}

Gong, Bengang ^{[1
]}

Xu, Xiaoyan ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 34卷 / 03期

关键词：

multi-attribute decision making; incomplete information; Dempster-Shafer theory; analytic hierarchy process; decision matrix;

D O I：

10.1016/j.eswa.2007.02.021

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a DS-AHP method is proposed for MADM problems with incomplete information. Different from most of current methods, the DS-AHP method solves a problem directly based on its incomplete decision matrix. On the base of Dempster-Shafer theory of evidence, our approach first identifies all possible focal elements from the incomplete decision matrix, and then it calculates the basic probability assignment of each focal element and the belief interval of each decision alternative. Preference relations among all decision alternatives are determined by comparing their belief intervals. A numerical example is studied to illustrate the detailed implementation process of the DS-AHP approach and demonstrate its potential applications in MADM problems with incomplete information. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：2221 / 2227

页数：7

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