Fuzzy Sets and Systems
Fuzzy Sets and Systems
Metrics and orders in space of fuzzy numbers
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 (I)
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
Ranking fuzzy numbers using ω-weighted valuations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Nearest interval approximation of a fuzzy number
Fuzzy Sets and Systems - Fuzzy intervals
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
On weighted possibilistic mean and variance of fuzzy numbers
Fuzzy Sets and Systems - Theme: Basic concepts
Ranking fuzzy numbers with an area method using radius of gyration
Computers & Mathematics with Applications
The possibilistic moments of fuzzy numbers and their applications
Journal of Computational and Applied Mathematics
Ranking fuzzy numbers with preference weighting function expectations
Computers & Mathematics with Applications
On the maximum entropy parameterized interval approximation of fuzzy numbers
Fuzzy Sets and Systems
On the centroids of fuzzy numbers
Fuzzy Sets and Systems
Ranking of fuzzy numbers by sign distance
Information Sciences: an International Journal
A method for ranking fuzzy numbers and its application to decision-making
IEEE Transactions on Fuzzy Systems
Analyzing the ranking method for L-R fuzzy numbers based on deviation degree
Computers and Industrial Engineering
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This paper proposes a new ranking method for fuzzy numbers, which uses a defuzzification of fuzzy numbers and a weighting function. Following Saeidifar and Pasha (2008), first, we define a weighted distance measure on fuzzy numbers, and then, by minimizing this distance, the weighted interval and point approximations of fuzzy numbers are obtained. These indices are applied to rank the fuzzy numbers. This method is new and interesting for ranking fuzzy numbers, and it can be applied for solving and optimizing engineering and economics problems in a fuzzy environment.