DocumentCode
1661599
Title
Fuzzy consensus models in GDSS
Author
Fedrizzi, Mario
Author_Institution
Dept. of Comput. Sci. & Manage. Eng., Trento Univ., Italy
fYear
1995
Firstpage
284
Lastpage
287
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ANNES.1995.499490
Filename
499490
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