DocumentCode
553114
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
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
854
Lastpage
857
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019703
Filename
6019703
Link To Document