Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory

المؤلفون المشاركون

Katielnikov, Denys
Pustylnik, Ludmila
Rotshtein, Alexander

المصدر

International Journal of Quality, Statistics, and Reliability

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-10-23

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

العلوم الاقتصادية والمالية وإدارة الأعمال
الاقتصاد

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-502967