The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A fast method of ranking alternatives using fuzzy numbers
Fuzzy Sets and Systems
The expected value of a fuzzy number
Fuzzy Sets and Systems
Analytic properties of maximum entropy OWA operators
Information Sciences—Informatics and Computer Science: An International Journal
Defuzzification: criteria and classification
Fuzzy Sets and Systems
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
Nearest interval approximation of a fuzzy number
Fuzzy Sets and Systems - Fuzzy intervals
On weighted possibilistic mean and variance of fuzzy numbers
Fuzzy Sets and Systems - Theme: Basic concepts
Averaging procedures in defuzzification processes
Fuzzy Sets and Systems - Theme: Basic concepts
Trapezoidal approximations of fuzzy numbers
Fuzzy Sets and Systems
Data-driven fuzzy clustering based on maximum entropy principle and PSO
Expert Systems with Applications: An International Journal
Parameterized defuzzification with continuous weighted quasi-arithmetic means - An extension
Information Sciences: an International Journal
Evaluation of fuzzy quantities by means of a weighting functions
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Possibilistic mean value and variance of fuzzy numbers: some examples of application
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
The relationship between the minimum-variance and minimax disparity RIM quantifier problems
Fuzzy Sets and Systems
Application of weighting functions to the ranking of fuzzy numbers
Computers & Mathematics with Applications
Parameterized approximation of fuzzy number with minimum variance weighting functions
Mathematical and Computer Modelling: An International Journal
The relationship between the maximum entropy and minimax ratio RIM quantifier problems
Fuzzy Sets and Systems
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This paper extends the interval-valued weighted possibilistic mean of a fuzzy number of Fuller and Majlender to a general weighting function without the monotonic increasing assumption. This weighting function determines a weighted average aggregation of the cuts of the fuzzy number according to the preference of a decision-maker. Some properties of the weighting function are provided and a preference index that qualifies this aggregation and can serve as a parameter for the definition of interval approximation of a fuzzy number is proposed. A special class of parameterized weighting functions satisfying the maximal entropy principle is proposed.