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This book introduces recent advances in the area of risk estimation in complex systems. The authors study new methods of accelerated modelling, asymptotical analysis and optimal estimating. The processes are modelled using large failure trees, the methodology of fuzzy sets, bayesians, methods of stochastic optimisation, and optimal models of equipment service and control. The authors suggest applying numerical methods for analysis of super-large failure trees having large amount of multiple vertices. The methods allow finding minimal sections and reducing the amount of time necessary for such calculations. The Bayesians theory is applied under conditions of uncertainty. The methods of finding robust parameter estimates for the most commonly used classes of a priori distribution functions are suggested. As an alternative approach to stochastic methods the authors propose the algorithums of critical stats estimation for the reactor's active zone that utilise the theory of fuzzy logic.
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Simulation and optimization methods in risk and reliability theory
2008, Nova Science Publishers
in English
1604566582 9781604566581
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- Created September 25, 2008
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June 17, 2022 | Edited by ImportBot | import existing book |
February 21, 2022 | Edited by Kaustubh Chakraborty | Added description |
February 21, 2022 | Edited by Kaustubh Chakraborty | //covers.openlibrary.org/b/id/12641978-S.jpg |
December 20, 2020 | Edited by MARC Bot | import existing book |
September 25, 2008 | Created by ImportBot | Imported from Library of Congress MARC record |