Title :
Fuzzy consensus models in GDSS
Author_Institution :
Dept. of Comput. Sci. & Manage. Eng., Trento Univ., Italy
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
Keywords :
decision support systems; formal languages; fuzzy set theory; group decision support systems; groupware; linguistics; GDSS; aggregation process; consensus reaching process; finite set; function estimation; fuzzy consensus models; moderator; opinion changing aversion; ordered weighted average operators; Computer networks; Decision making; Decision support systems; Fuzzy logic; Open wireless architecture; Testing;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499490