Title :
Ranking fuzzy numbers based on fuzzy mean and standard deviation
Author :
Liansen Zhu ; Ruoning Xu
Author_Institution :
Sch. of Math. & Inf. Sci., Guangzhou Univ., Guangzhou, China
Abstract :
Many ranking methods for fuzzy numbers have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation. In this paper we propose a new method for ranking fuzzy numbers based on two different criteria, namely, the fuzzy mean and the fuzzy standard deviation. Finally we give some numerical examples to illustrate the proposed method and compare with other methods.
Keywords :
fuzzy set theory; statistical analysis; fuzzy mean; fuzzy number ranking; fuzzy standard deviation; Computers; Decision making; Educational institutions; Fuzzy sets; Indexes; Minimization; fuzzy mean; fuzzy number; fuzzy standard deviation; ranking;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019703
