Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers
Expert Systems with ApplicationsPublished 15 August 2010
Shyi‐Ming Chen, Kata Sanguansat
Citations131
SJR quartileQ1
SJR score1.85
SNIP2.55
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TL;DR
The proposed fuzzy ranking method provides a useful way to deal with fuzzy risk analysis problems based on generalized fuzzy numbers and can overcome the drawbacks of some existing methods.
Abstract
In this paper, we present a new method for analyzing fuzzy risk based on a new method for ranking generalized fuzzy numbers. First, we present a new method for ranking generalized fuzzy numbers. It considers the areas on the positive side, the areas on the negative side and the heights of the generalized fuzzy numbers to evaluate ranking scores of the generalized fuzzy numbers. The proposed method can overcome the drawbacks of some existing methods for ranking generalized fuzzy numbers. Then, we apply the proposed 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
Decision SciencesMathematics
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