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: | Fedrizzi M., Kacprzyk J., Owsinski J.W., Zadroczny S. |
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.