Ranking fuzzy values with satisfaction function
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy information in extended fuzzy relational databases
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Comparison of fuzzy values on a continuous domain
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
A method for ranking fuzzy numbers and its application to decision-making
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Handling partial truth on type-2 similarity-based reasoning
Expert Systems with Applications: An International Journal
Recent Literature Collected by Didier DUBOIS, Henri PRADE and Salvatore SESSA
Fuzzy Sets and Systems
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A comparison method for discrete type-2 fuzzy values is proposed in this paper. The proposed method is based on the concept of the satisfaction function that handles the ambiguity in fuzzy comparisons using the possibility distribution of actual values. Some properties of the proposed comparison method are analyzed as well.