ArticleAuthors: Yu, Vincent F.; Luu, Huu Van; Luu, Quoc Dat; Ha, Thi Xuan Chi; Chou, Shuo-Yan; Truong, Thi Thuy Duong (2017)
Ranking fuzzy numbers is an important component in the decision-making process with the last few
decades having seen a large number of ranking methods.
Ezzati et al. (Expert Syst Appl 39:690–695, 2012) proposed
a revised approach for ranking symmetric fuzzy numbers
based on the magnitude concepts to overcome the shortcoming of Abbasbandy and Hajjari’s method. Despite its
merits, some shortcomings associated with Ezzati et al.’s
approach include: (1) it cannot consistently rank the fuzzy
numbers and their images; (2) it cannot effectively rank
symmetric fuzzy numbers; and (3) it cannot rank nonnormal fuzzy numbers. This paper thus proposes a revised
method to rank generalized ... 
