期刊
APPLIED MATHEMATICAL MODELLING
卷 35, 期 3, 页码 1306-1313出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2010.09.007
关键词
Defuzzification; Fuzzy number; Ranking; Distance minimization; Epsilon - neighborhood
Asady and Zendehnam employed distance minimization to ranking fuzzy numbers in Ref [1]. Then Abbasbandy and Hajjari in [2] found a problem of its. To overcome it problem, they proposed magnitude method to ranking fuzzy numbers. Unfortunately, their method can not to overcome this problem. In this paper, we want to indicate this problem and then propose a revise method of distance minimization method which can avoid problem for ranking fuzzy numbers. Since the revised method is based on the distance minimization method, it is easy to rank fuzzy numbers in a way similar to the original method. (C) 2010 Elsevier Inc. All rights reserved.
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