Preference relations on a set of fuzzy utilities as a basis for decision making
Fuzzy Sets and Systems
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy preference structures without incomparability
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Deriving priorities from fuzzy pairwise comparison judgements
Fuzzy Sets and Systems - Optimisation and decision
On Compatibility of Interval Fuzzy Preference Relations
Fuzzy Optimization and Decision Making
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Optimization and Decision Making
A Procedure for Decision Making Based on Incomplete Fuzzy Preference Relation
Fuzzy Optimization and Decision Making
Fuzzy preference relations: Aggregation and weight determination
Computers and Industrial Engineering
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
A method for repairing the inconsistency of fuzzy preference relations
Fuzzy Sets and Systems
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 0.00 |
A systematic study of recent developments in preferences based on fuzzy logic is carried out in order to identify an effective design for fuzzy preference models in conflict resolution. Fuzzy preference, defined via a fuzzy relation over the alternatives or states, attempts to represent a decision maker's preferences more realistically. It generalizes the usual preference structures in the sense that it provides a uniform description of both certain (crisp) and uncertain preferences. The potential applicability of fuzzy preferences to the modeling, analysis, and understanding of strategic conflicts is investigated and connected to a literature survey.