Title :
A new method for analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers
Author :
Sanguansat, Kata ; Chen, Shyi-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
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.
Keywords :
fuzzy set theory; fuzzy ranking method; fuzzy risk analysis problems; generalized fuzzy numbers ranking; ranking scores; Arithmetic; Computer science; Cybernetics; Information analysis; Machine learning; Risk analysis; Upper bound; Fuzzy risk analysis; Generalized fuzzy numbers; Linguistic terms; Linguistic values; Ranking methods;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212617
