Defuzzification method for ranking fuzzy numbers based on centroids and maximizing and minimizing set

15Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

Abstract

This paper proposes a new method on ranking fuzzy numbers through the process of defuzzification by using maximizing and minimizing set on the triangular fuzzy numbers formed from generalized trapezoidal fuzzy numbers. In this method, a total utility value of each fuzzy number is defined by considering two left and two right utility values along with decision maker’s optimism which serves as a criterion for ranking fuzzy numbers and overcomes the limitations of Chen’s (1985) [Chen, S. H. (1985). Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy sets and systems, 17(2), 113-129] ranking method.

Cite

CITATION STYLE

APA

Peddi, P. B. R. (2019). Defuzzification method for ranking fuzzy numbers based on centroids and maximizing and minimizing set. Decision Science Letters, 8(4), 411–428. https://doi.org/10.5267/j.dsl.2019.5.004

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free