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A CONSENSUS MODEL FOR GROUP DECISION-MAKING PROBLEMS WITH INTERVAL FUZZY PREFERENCE RELATIONS

International Journal of Information Technology & Decision MakingPublished 1 July 2012
Juan Miguel Tapia García, M.J. del Moral, María A. Martínez, Enrique Herrera‐Viedma
Citations39
SJR quartileQ2
SJR score0.48
SNIP0.80

TL;DR

This paper presents a consensus model for group decision-making problems with interval fuzzy preference relations based on two consensus criteria, a consensus measure and a proximity measure, and also on the concept of coincidence among preferences.

Abstract

Interval fuzzy preference relations can be useful to express decision makers' preferences in group decision-making problems. Usually, we apply a selection process and a consensus process to solve a group decision situation. In this paper, we present a consensus model for group decision-making problems with interval fuzzy preference relations. This model is based on two consensus criteria, a consensus measure and a proximity measure, and also 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. We show an application example in social work.

Keywords

Computer ScienceDecision Sciences