Ranking fuzzy numbers using similarity measure with centroid

Ranking fuzzy numbers correctly is essential especially in decision making process. Many techniques of ranking fuzzy numbers have been investigated using variety of approaches. However, most of the techniques have weaknesses one way or another. In this paper, we propose a new method of ranking fuzzy numbers using similarity measure approach with centroid. We investigate its ranking consistency compares to other existing methods using a few benchmarking sets of fuzzy numbers. It is found that our proposed method is able to overcome some of the weaknesses of other methods.