An intuitionistic fuzzy group decision making method using entropy and association coefficient

被引：43
|
作者：
Khaleie, Samrand [1 ]
Fasanghari, Mehdi [1 ]
机构：
[1] Iran Telecommun Res Ctr ITRC, Dept Informat Technol, Tehran, Iran
来源：
SOFT COMPUTING | 2012年 / 16卷 / 07期
关键词：
Group decision making; Atanassov's intuitionistic fuzzy set; Entropy weight; Association coefficient; SIMILARITY MEASURES; VAGUE SETS; DISTANCES;
D O I：
10.1007/s00500-012-0806-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Group decision making is a process in which experts rank and choose the most desirable alternatives based on some accepted criteria. The aim of this paper was to introduce a method to solve group decision making problems with Atanassov's intuitionistic fuzzy sets. First, the weight of each criterion is calculated using intuitionistic fuzzy entropy. Then, the total criteria weight vector is calculated by aggregating the calculated weights. Using the obtained weight vector, the alternatives are ranked based on the association coefficient of the performance of alternatives related to each criterion and the positive ideal intuitionistic fuzzy set value and the negative ideal intuitionistic fuzzy set value. Finally, to show the application of the proposed method, it is implemented in software vendor selection.
引用
收藏
页码：1197 / 1211
页数：15
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