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Determining weights of fuzzy attributes for multi-attribute decision-making problems based on consensus of expert opinions

Abstract

An important objective of a group decision-making problem is to determine the weights of attributes that are given by experts participating in the decision-making process. Since different decision-makers have unequal importance in decision-making, a series of studies focused on finding a set of appropriate weights for experts participating in a decision problem. In this paper, the problem of weight determination among decision-makers is investigated by extending an algorithm taken from the technique for order preference by similarity-to-ideal solution. In this case, a pair of most compromising and least compromising solutions is derived from individual judgments of decision-makers and then, these solutions are applied as the bases for determining the magnitude of individual alignment with the group opinion by using a closeness coefficient approach. Determining the weights of decision-makers, the group decision-making problem is then solved. Application of the proposed method is illustrated by a numerical example for the selection of a maintenance strategy.

Keyword : weights, multi-attribute, fuzzy, group decision-making, linguistic variable, triangular fuzzy number, most compromising solution, least compromising solution

How to Cite
Razavi Hajiagha, S. H., Mahdiraji, H. A., Hashemi, S. S., & Turskis, Z. (2015). Determining weights of fuzzy attributes for multi-attribute decision-making problems based on consensus of expert opinions. Technological and Economic Development of Economy, 21(5), 738-755. https://doi.org/10.3846/20294913.2015.1058301
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Sep 29, 2015
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