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Identification of the Logical-and-Probabilistic Risk Models of Structurally Complex Systems with Groups of Inconsistent Events

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Abstract

The theory of identification of the logical-and-probabilistic risk models of structurally complex systems with groups of inconsistent events was presented. For the logical-and-probabilistic risk models, their high precision and stability based on the groups of inconsistent events (Bayes formulas) and a well-organized risk polynomial was substantiated. Precision and stability of the logical-and-probabilistic risk models was compared with the well-known methods of classification of objects. For systems of various logical complexity, examples of identification and analysis of the logical-and-probabilistic models were presented.

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  1. Institute of Mechanical Engineering Problems, Russian Academy of Sciences, St. Petersburg, Russia

    V. V. Karasev & E. D. Solozhentsev

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  1. V. V. Karasev
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  2. E. D. Solozhentsev
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Karasev, V.V., Solozhentsev, E.D. Identification of the Logical-and-Probabilistic Risk Models of Structurally Complex Systems with Groups of Inconsistent Events. Automation and Remote Control 63, 433–448 (2002). https://doi.org/10.1023/A:1014702517503

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