An improved ranking method for generalized fuzzy numbers based on Euclidian distance concept

被引：8
作者：
Eslamipoor R. [1 ]
Hosseini-nasab H. [1 ]
Sepehriar A. [2 ]
机构：
[1] Department of Industrial Engineering, Yazd University, Yazd
[2] Industrial and System Engineering Department, Sharif University of Technology, Tehran
来源：
Afrika Matematika | 2015年 / 26卷 / 7-8期
关键词：
Fuzzy numbers; Generalized fuzzy numbers; Ranking method;
D O I：
10.1007/s13370-014-0285-4
中图分类号：
学科分类号：
摘要：
Ranking fuzzy numbers plays a main role in many applied models, and in particular decision-making procedures. In any proposed method by the other researches some shortcomings may exist. In this paper, a new method for ranking two generalized fuzzy numbers based on Euclidian distance measure is presented. Besides from distance measure, we exploited the deviations of generalized fuzzy numbers. The proposed method is illustrated by some numerical examples and in particular the results of ranking by the proposed method and some common and existing methods for ranking fuzzy sets is compared to verify the advantages of the new approach. © 2014, African Mathematical Union and Springer-Verlag Berlin Heidelberg.
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页码：1291 / 1297
页数：6
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