A Method for Ranking of Fuzzy Numbers Using New Weighted Distance

By Tofigh Allahviranloo, Saeid Abbasbandy, Rahim Saneifard. 2011

50 citations recorded by the source corpus.

In this paper, the researchers proposed a modified new weighted distance method to rank fuzzy numbers. The modified method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques. The proposed model is studied for a broad class for fuzzy numbers and class of functions the membership of which is formed on the basis of the template ( ) max (0.1 ) s  x   x . This article also used some comparative examples to illustrate the advantage of the proposed method.

Subfields: Information Systems, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0e51da7abee2f3b9fa16319845848ef75462fcb0