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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2011, 16(2), 359-369; https://doi.org/10.3390/mca16020359

A Method for Ranking of Fuzzy Numbers Using New Weighted Distance

Department of Mathematics Islamic Azad University, Science and Research Branch, Tehran, Iran
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Published: 1 August 2011
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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
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Allahviranloo, T.; Abbasbandy, S.; Saneifard, R. A Method for Ranking of Fuzzy Numbers Using New Weighted Distance. Math. Comput. Appl. 2011, 16, 359-369.

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