Next Article in Journal
An Improved Vogel's Approximation Method for the Transportation Problem
Previous Article in Journal
The Curvature of a Bézier Control Polyline
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
MCA
Volume 16
Issue 2
10.3390/mca16020359
mca-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Association for Scientific Research (ASR).
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
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

Share and Cite

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

APA Style

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

Article Metrics

Back to TopTop