Fuzzy consensus models in GDSS

Abstract

The basic framework within which we operate here is the following one: there is a group of experts which must choose a preferred alternative from a finite set of admissible ones according to several criteria. Each expert is called upon to evaluate linguistically the alternatives in terms of their performance with respect to each criterion. The task of the experts is to reach some agreement during a consensus reaching process directed by a moderator. In our approach the measure of consensus depends on a function estimated for each expert according to his/her so called opinion changing aversion (OCA) and the aggregation process is based on ordered weighted average (OWA) operators.