Ranking fuzzy numbers based on fuzzy mean and standard deviation

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 sta...

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Bibliographic Details
Published in2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Vol. 2; pp. 854 - 857
Main Authors Liansen Zhu, Ruoning Xu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Computers
Decision making
Educational institutions
fuzzy mean
fuzzy number
Fuzzy sets
fuzzy standard deviation
Indexes
Minimization
ranking
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Summary: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.
ISBN:9781612841809
1612841805
DOI:10.1109/FSKD.2011.6019703