Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations

被引：68

作者：

Lee, Li-Wei ^{[1
]}

Chen, Shyi-Ming ^{[1
,2
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taipei County, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 34卷 / 04期

关键词：

fuzzy numbers; ranking methods; experts' confidence; index of optimism; fuzzy risk analysis;

D O I：

10.1016/j.eswa.2007.05.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new method for fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations. First, we present a new method for ranking trapezoidal fuzzy numbers based on their shapes and deviations. Then, we use some examples to compare the proposed method with the existing methods for ranking fuzzy numbers. Finally, we use the proposed fuzzy ranking method to present a new fuzzy risk analysis algorithm to deal with fuzzy risk analysis problems. The proposed fuzzy risk analysis algorithm is more flexible and simpler than the existing methods due to the fact that it allows the evaluating values to be represented by trapezoidal fuzzy numbers with different shapes and different deviations. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：2763 / 2771

页数：9

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