Ranking fuzzy numbers plays a very important role in linguistic decision making, data analysis and some other fuzzy application systems. The last decades have seen a large number of methods investigated for ranking fuzzy numbers. The most commonly used approached for ranking fuzzy numbers is ranking indices based on centroid of fuzzy numbers. However, there are some weakness associated with these indices. This paper, proposes a new centroid index ranking method that is capable of effectively ranking various types of fuzzy numbers. The contents herein present a comparative example demonstrating the usage and advantages of the proposed centroid index ranking method for fuzzy numbers.
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