A consensus model for group decision making problems with linguistic interval fuzzy preference relations
Expert Systems with ApplicationsPublished 16 February 2012
J.M. Tapia Garcı ́a, M.J. del Moral, María A. Martínez, Enrique Herrera‐Viedma
Citations158
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SJR score1.85
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TL;DR
A consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences is presented, based on two consensus criteria, a consensus measure and a proximity measure, and on the concept of coincidence among preferences.
Abstract
Sometimes, we find decision situations in which it is difficult to express some preferences by means of concrete preference degrees. In this paper, we present a consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences. This model is based on two consensus criteria, a consensus measure and a proximity measure, and on the concept of coincidence among preferences. We compute both consensus criteria in the three representation levels of a preference relation and design an automatic feedback mechanism to guide experts in the consensus reaching process.
Keywords
Computer ScienceDecision Sciences
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