Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
A probabilistic approach to rank complex fuzzy numbers
Fuzzy Sets and Systems
Ranking and defuzzification methods based on area compensation
Fuzzy Sets and Systems
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
Ranking fuzzy numbers by preference ratio
Fuzzy Sets and Systems
Ranking fuzzy numbers using ω-weighted valuations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A context-dependent method for ordering fuzzy numbers using probabilites
Information Sciences—Informatics and Computer Science: An International Journal
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
Ranking the sequences of fuzzy values
Information Sciences—Informatics and Computer Science: An International Journal
A survey of credibility theory
Fuzzy Optimization and Decision Making
Fuzzy dominance based on credibility distributions
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Analysis of different versions of the credibilistic value at risk
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Computing the Risk Indicators in Fuzzy Systems
Journal of Information Technology Research
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Fuzzy variables are used for representing imprecise numerical quantities in a fuzzy environment, and the comparison of fuzzy variables is considered an important and complicated issue in fuzzy logic theory and applications. In this paper, we propose a new type of method for ranking fuzzy variables in the setting of credibility measure. Some basic properties of this type of ranking fuzzy variable in terms of credibility measure are investigated. As an illustration, the case of ranking rule for typical trapezoidal fuzzy variables is examined.