Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles

Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles

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Article ID: iaor1995239
Country: Switzerland
Volume: 51
Issue: 1
Start Page Number: 127
End Page Number: 139
Publication Date: Sep 1994
Journal: Annals of Operations Research
Authors: , , ,
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.

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