A new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights

Author

Chen, Shyi-Ming ; Munif, Abdul ; Chen, Guey-Shya ; Kuo, Bor-Chen ; Liu, Hsiang-chuan

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

fYear

2011

fDate

9-12 Oct. 2011

Firstpage

2307

Lastpage

2312

Abstract

This paper presents a new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights. First, we present a method for ranking generalized fuzzy numbers with different left heights and right heights. It can overcome the drawbacks of the existing fuzzy ranking methods. Based on the proposed fuzzy ranking method of generalized fuzzy numbers with different left heights and right heights, we propose a new method for fuzzy risk analysis. The proposed fuzzy risk analysis method provides us with a useful way to deal with fuzzy risk analysis problems.

Keywords

fuzzy set theory; risk analysis; fuzzy risk analysis; generalized fuzzy number ranking; left heights; right heights; Asia; Biomedical informatics; Biomedical measurements; Economic indicators; Educational institutions; Risk analysis; Shape; Fuzzy risk analysis; Generalized fuzzy numbers; Ranking methods; Ranking scores;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1062-922X

Print_ISBN

978-1-4577-0652-3

Type

conf

DOI

10.1109/ICSMC.2011.6084022

Filename

6084022