DocumentCode
2917647
Title
Fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers
Author
Kumar, Mohit ; Yadav, Shiv Prasad
Author_Institution
Dept. of Math., I.I.T. Roorkee, Roorkee, India
fYear
2011
fDate
5-8 Dec. 2011
Firstpage
247
Lastpage
252
Abstract
This paper presents the fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers (IFNs). Till now, in the literature, to analyze the fuzzy system reliability, it is assumed that the reliabilities of components of a system follow the same type of IFNs. However, in practical problems, such type of situations rarely occurs. Therefore, in the present paper, a new algorithm has been introduced to analyze the fuzzy reliability of systems having components following different types of IFNs. Functions of IFNs are calculated to solve the fuzzy system reliability via non-linear programming techniques. Our study generalizes the various works of the literature. Numerical example is also given to illustrate the proposed algorithm.
Keywords
fuzzy set theory; reliability theory; IFN; fuzzy system reliability analysis; intuitionistic fuzzy numbers; nonlinear programming; Fuzzy set theory; Fuzzy sets; Hybrid intelligent systems; Programming; Reliability theory; Fuzzy system reliability; functions of intuitionistic fuzzy numbers; intuitionistic fuzzy number;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
Conference_Location
Melacca
Print_ISBN
978-1-4577-2151-9
Type
conf
DOI
10.1109/HIS.2011.6122113
Filename
6122113
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