Group decision-making with a fuzzy majority via linguistic quantifiers. part 1:
Cybernetics and Systems
Group decision-making with a fuzzy majority via linguistic quantifiers. part II:
Cybernetics and Systems
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Group decision making under fuzziness
Fuzzy sets in decision analysis, operations research and statistics
On separability of intuitionistic fuzzy sets
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
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Zadeh's (1983) calculus of linguistically quantified statements is employed to represent and handle a fuzzy majority in the derivation of a measure (degree) of consensus under intuitionistic fuzzy preferences. We follow the concept of a fuzzy majority introduced by Kacprzyk (1984, 1985a, b, 1986, 1987), Fedrizzi (1988), Kacprzyk and Fedrizzi (1986, 1988, 1989). The proposed consensus measure expresses a degree to which, say, "most of the important individuals agree as to almost all of the relevant options". Individual testimonies are assumed to be individual intuitionistic fuzzy preference relations that, as opposed to ordinary fuzzy preference relations, can better reflect the fact that during the consensus reaching proccess individuals can be, first, unsure as to their preferences, and second, can change them. We obtain new interval valued measures of consensus meant as, on the one hand, reflecting a possible hesitation of individuals, and on the other hand, providing a best and worst possible result.