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Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles |
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| Authors: | M. Fedrizzi J. Kacprzyk J. W. Owsiński S. Zadrożny |
| Affiliation: | (1) Department of Computer and Management Sciences, University of Trento, Via Inama 5, 38100 Trento, Italy;(2) Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland |
| Abstract: | An interactive DSS for consensus reaching is presented. Experts provide their testimonies as fuzzy preference relations. The consensus reaching process is supervised by a moderator (  super-expert ). A degree of consensus, based on the concept of a fuzzy majority given as a linguistic quantifier is employed. Algorithms of cluster analysis are used to find groups of experts having similar preferences. |
| Keywords: | Group DM consensus consensus degree GDSS fuzzy majority fuzzy logic fuzzy linguistic quantifier fuzzy preferences cluster analysis |
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