A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory

被引：4
|
作者：
Pan, Dongbo [1 ]
Lu, Xi [1 ]
Liu, Juan [1 ]
Deng, Yong [1 ]
机构：
[1] Southwest Univ, Fac Comp & Informat Sci, Chongqing 400715, Peoples R China
来源：
SCIENTIFIC WORLD JOURNAL | 2014年
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
ANALYTIC HIERARCHY PROCESS; FUZZY PREFERENCE-RELATION; GROUP DECISION-MAKING; PRIORITY; FUSION;
D O I：
10.1155/2014/904596
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Decision-making, as a way to discover the preference of ranking, has been used in various fields. However, owing to the uncertainty in group decision-making, how to rank alternatives by incomplete pairwise comparisons has become an open issue. In this paper, an improved method is proposed for ranking of alternatives by incomplete pairwise comparisons using Dempster-Shafer evidence theory and information entropy. Firstly, taking the probability assignment of the chosen preference into consideration, the comparison of alternatives to each group is addressed. Experiments verified that the information entropy of the data itself can determine the different weight of each group's choices objectively. Numerical examples in group decision-making environments are used to test the effectiveness of the proposed method. Moreover, the divergence of ranking mechanism is analyzed briefly in conclusion section.
引用
收藏
页数：11
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