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Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory
Joint Authors
Katielnikov, Denys
Pustylnik, Ludmila
Rotshtein, Alexander
Source
International Journal of Quality, Statistics, and Reliability
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Economics & Business Administration
Economy
Abstract EN
Fuzzy sets membership functions integrated with logistic map as the chaos generator were used to create reliability bifurcations diagrams of the system with redundancy of the components.
This paper shows that increasing in the number of redundant components results in a postponement of the moment of the first bifurcation which is considered as most contributing to the loss of the reliability.
The increasing of redundancy also provides the shrinkage of the oscillation orbit of the level of the system’s membership to reliable state.
The paper includes the problem statement of redundancy optimization under conditions of chaotic behavior of influencing parameters and genetic algorithm of this problem solving.
The paper shows the possibility of chaos-tolerant systems design with the required level of reliability.
American Psychological Association (APA)
Rotshtein, Alexander& Katielnikov, Denys& Pustylnik, Ludmila. 2012. Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory. International Journal of Quality, Statistics, and Reliability،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-502967
Modern Language Association (MLA)
Rotshtein, Alexander…[et al.]. Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory. International Journal of Quality, Statistics, and Reliability No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-502967
American Medical Association (AMA)
Rotshtein, Alexander& Katielnikov, Denys& Pustylnik, Ludmila. Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory. International Journal of Quality, Statistics, and Reliability. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-502967
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502967