Supporting consensus reaching under fuzziness via ordered weighted averaging (OWA) operators

The author discusses computer support of consensus reaching in a group of individuals under fuzzy preferences and a fuzzy majority, using a group DSS (GDSS), and supervised by a “super-individual”, a moderator, who monitors and runs the process. For measuring how far the group is from “consensus”, Kacprzyk and Fedrizzi´s (1986, 1988, 1989, 1995) soft degree of consensus is employed viewed as a degree to which, say, most of the important individuals agree to almost all of the relevant options. Yager´s (1988, 1996) ordered weighted averaging (OWA) operators for importance qualified data are used