A new method for ranking generalized fuzzy numbers for handling fuzzy risk analysis problems

Abstract

In this paper, we present a new method for ranking generalized fuzzy numbers for dealing with fuzzy risk analysis problems. The proposed method considers the defuzzified values, the heights and the spreads of generalized fuzzy numbers, simultaneously, for ranking generalized fuzzy numbers. It gets better ranking results to rank generalized fuzzy numbers than the existing methods. We also apply the proposed method to deal with fuzzy risk analysis problems. The proposed method provides a useful way for handling fuzzy risk analysis problems.