Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights

被引：106

作者：

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

Munif, Abdul ^{[1
]}

Chen, Guey-Shya ^{[2
]}

Liu, Hsiang-Chuan ^{[3
]}

Kuo, Bor-Chen ^{[2
]}

机构：

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

[2] Natl Taichung Univ Educ, Grad Inst Educ Measurement & Stat, Taichung, Taiwan

[3] Asia Univ, Dept Biomed Informat, Taichung, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 07期

关键词：

Fuzzy risk analysis; Generalized fuzzy numbers; Left heights; Ranking order; Ranking scores; Right heights;

D O I：

10.1016/j.eswa.2011.12.004

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 the proposed new fuzzy ranking method for ranking generalized fuzzy numbers with different left heights and right heights. First, we present a fuzzy ranking method for ranking generalized fuzzy numbers with different left heights and right heights. The proposed method considers the areas of the positive side, the areas of the negative side and the centroid values of generalized fuzzy numbers as the factors for calculating the ranking scores of generalized fuzzy numbers with different left heights and right heights. It can overcome the drawbacks of the existing fuzzy ranking methods. Then, we propose a new method for fuzzy risk analysis based on the proposed fuzzy ranking method, where the evaluating values are represented by generalized fuzzy numbers. The proposed fuzzy risk analysis method provides us with a useful way for fuzzy risk analysis based on generalized fuzzy numbers with different left heights and right heights. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：6320 / 6334

页数：15

共 16 条

[1] RANKING FUZZY NUMBERS WITH MAXIMIZING SET AND MINIMIZING SET [J].

CHEN, SH .

FUZZY SETS AND SYSTEMS, 1985, 17 (02) :113-129

[2] Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers [J].

Chen, Shi-Jay ;

Chen, Shyi-Ming .

APPLIED INTELLIGENCE, 2007, 26 (01) :1-11

[3]

Chen SM, 2011, IEEE SYS MAN CYBERN, P2307, DOI 10.1109/ICSMC.2011.6084022

[4] Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers [J].

Chen, Shyi-Ming ;

Sanguansat, Kata .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :2163-2171

[5] Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads [J].

Chen, Shyi-Ming ;

Chen, Jim-Ho .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :6833-6842

[6] Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers [J].

Chen, SJ ;

Chen, SM .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (01) :45-56

[7] A new approach for ranking fuzzy numbers by distance method [J].

Cheng, CH .

FUZZY SETS AND SYSTEMS, 1998, 95 (03) :307-317

[8] Ranking fuzzy numbers with an area between the centroid point and original point [J].

Chu, TC ;

Tsao, CT .

COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2002, 43 (1-2) :111-117

[9] CONSTRUCTION RISK ASSESSMENT BY LINGUISTICS [J].

KANGARI, R ;

RIGGS, LS .

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1989, 36 (02) :126-131

[10] Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations [J].

Lee, Li-Wei ;

Chen, Shyi-Ming .

EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (04) :2763-2771

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