Hesamian, G., Bahrami, F. (2017). CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS. Iranian Journal of Fuzzy Systems, 14(6), 103-117. doi: 10.22111/ijfs.2017.3500

Gholamreza Hesamian; Farid Bahrami. "CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS". Iranian Journal of Fuzzy Systems, 14, 6, 2017, 103-117. doi: 10.22111/ijfs.2017.3500

Hesamian, G., Bahrami, F. (2017). 'CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS', Iranian Journal of Fuzzy Systems, 14(6), pp. 103-117. doi: 10.22111/ijfs.2017.3500

Hesamian, G., Bahrami, F. CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS. Iranian Journal of Fuzzy Systems, 2017; 14(6): 103-117. doi: 10.22111/ijfs.2017.3500

CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS

^{1}Department of Statistics, Payame Noor University,, Tehran 19395-3697, Iran

^{2}Department of Mathematical Sciences,, Isfahan University of Technology,, Isfahan 84156-83111, Iran

Abstract

This paper suggests a novel approach for ranking the most applicable fuzzy numbers, i.e. $LR$-fuzzy numbers. Applying the $\alpha$-optimistic values of a fuzzy number, a preference criterion is proposed for ranking fuzzy numbers using the Credibility index. The main properties of the proposed preference criterion are also studied. Moreover, the proposed method is applied for ranking fuzzy numbers using target-rank-based methods. Some numerical examples are used to illustrate the proposed ranking procedure. The proposed preference criterion is also examined in order to compare with some common methods and the feasibility and effectiveness of the proposed ranking method is cleared via some numerical comparisons.

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