A new method for ranking fuzzy numbers: endpoint method

Authors:
Xinni Gao;Guixiang Wang
Affiliations:
Institute of Operational Research & Cybernetics, Hangzhou Dianzi University, Hangzhou, P. R. China;Institute of Operational Research & Cybernetics, Hangzhou Dianzi University, Hangzhou, P. R. China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Year:
2009

Citing 2
Cited 0

A method for ranking fuzzy numbers and its application to decision-making

IEEE Transactions on Fuzzy Systems
A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We know that decision-making is one of very important research topics in application areas and the base of decision-making is ranking, therefore ranking fuzzy numbers is also a significant research area. In this paper, we propose a new method for ranking fuzzy numbers- endpoint method. Using this mean, the only condition we need are some special points of the fuzzy number that contains the interval points of the support and the points which membership degree are 1. From the numerical examples prepared in the paper, we compare our new method with some previous methods and then we can see that our method is not only accurate in results but also has a high efficient in computation.