A NEW METHOD FOR ANALYZING FUZZY RISK BASED ON A NEW FUZZY RANKING METHOD BETWEEN GENERALIZED FUZZY NUMBERS

被引：3

作者：

Sanguansat, Kata ^{[1
]}

Chen, Shyi-Ming ^{[1
]}

机构：

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

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Fuzzy risk analysis; Generalized fuzzy numbers; Linguistic terms; Linguistic values; Ranking methods;

D O I：

10.1109/ICMLC.2009.5212617

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present a new method for ranking generalized fuzzy numbers. The proposed method calculates the areas on the positive side, the areas on the negative side, the spreads and the heights of the generalized fuzzy numbers to evaluate ranking scores of the generalized fuzzy numbers. It can overcome the drawbacks of some existing methods for ranking generalized fuzzy numbers. Then, we apply the proposed fuzzy ranking method for ranking generalized fuzzy numbers to develop a new method for dealing with fuzzy risk analysis problems. The proposed method provides us with a useful way to deal with fuzzy risk analysis problems based on generalized fuzzy numbers.

引用

页码：2823 / 2827

页数：5

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