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Article

A Method for Ranking of Fuzzy Numbers Using New Weighted Distance

by
T. Allahviranloo
*,
S. Abbasbandy
and
R. Saneifard
Department of Mathematics Islamic Azad University, Science and Research Branch, Tehran, Iran
*
Author to whom correspondence should be addressed.
Math. Comput. Appl. 2011, 16(2), 359-369; https://doi.org/10.3390/mca16020359
Published: 1 August 2011
Versions Notes

Abstract

In this paper, the researchers proposed a modified new weighted distance method to rank fuzzy numbers. The modified method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques. The proposed model is studied for a broad class for fuzzy numbers and class of functions the membership of which is formed on the basis of the template ( ) max (0.1 ) s  x   x . This article also used some comparative examples to illustrate the advantage of the proposed method.
Keywords: Ranking; Fuzzy numbers; Fuzzy distance; Defuzzification Ranking; Fuzzy numbers; Fuzzy distance; Defuzzification

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MDPI and ACS Style

Allahviranloo, T.; Abbasbandy, S.; Saneifard, R. A Method for Ranking of Fuzzy Numbers Using New Weighted Distance. Math. Comput. Appl. 2011, 16, 359-369. https://doi.org/10.3390/mca16020359

AMA Style

Allahviranloo T, Abbasbandy S, Saneifard R. A Method for Ranking of Fuzzy Numbers Using New Weighted Distance. Mathematical and Computational Applications. 2011; 16(2):359-369. https://doi.org/10.3390/mca16020359

Chicago/Turabian Style

Allahviranloo, T., S. Abbasbandy, and R. Saneifard. 2011. "A Method for Ranking of Fuzzy Numbers Using New Weighted Distance" Mathematical and Computational Applications 16, no. 2: 359-369. https://doi.org/10.3390/mca16020359

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