Journal
SOFT COMPUTING
Volume 16, Issue 7, Pages 1197-1211Publisher
SPRINGER
DOI: 10.1007/s00500-012-0806-8
Keywords
Group decision making; Atanassov's intuitionistic fuzzy set; Entropy weight; Association coefficient
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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.
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