An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value
Department of Mathematics Science and Research Branch, Islamic Azad University, Tehran, Iran
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Math. Comput. Appl. 2011, 16(3), 588-597; https://doi.org/10.3390/mca16030588
Published: 1 December 2011
Abstract
In the present paper, the researchers discuss the problem of weighted interval approximation of fuzzy numbers. This interval can be used as a crisp set approximation with respect to a fuzzy quantity. Then, by using this, the researchers propose a novel approach to ranking fuzzy numbers. This method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques.
Keywords:
Ranking; Fuzzy numbers; Weighted interval-value; Defuzzification
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MDPI and ACS Style
Allahviranloo, T.; Abbasbandy, S.; Saneifard, R. An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value. Math. Comput. Appl. 2011, 16, 588-597. https://doi.org/10.3390/mca16030588
AMA Style
Allahviranloo T, Abbasbandy S, Saneifard R. An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value. Mathematical and Computational Applications. 2011; 16(3):588-597. https://doi.org/10.3390/mca16030588
Chicago/Turabian StyleAllahviranloo, T., S. Abbasbandy, and R. Saneifard. 2011. "An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value" Mathematical and Computational Applications 16, no. 3: 588-597. https://doi.org/10.3390/mca16030588
