Affiliations: Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran | E-mail: [email protected]
Correspondence:
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Corresponding author: Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. E-mail: [email protected].
Abstract: The open problem of comparing fuzzy numbers as one of the most important issues in fuzzy sets has been studied by many researchers. However, this problem has not been solved up to now and perhaps it will never be fully answered. This work proposes a necessary condition for ranking of triangular fuzzy numbers on the basis of some efficient height-independent ranking methods such as centroids, total integral value, signed distance and defuzzification. To the best of our knowledge, this paper provides the first use of a necessary condition in ranking methods. Fortunately, suggested approach is very straightforward, fast and efficient to use in the real problems. To evaluate the suggested approach with the result of existing methods, six examples are presented. Finally, we apply this necessary condition for ranking fuzzy numbers to a fuzzy failure mode and effect analysis (FMEA) problem. The results show that our approach is practical and has reasonable outcome.
Keywords: Ranking, triangular fuzzy numbers, centroids point, defuzzification, integral value, FMEA
