Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6084022
