Complex System Risk Assessment Based on the Fuzzy Probabilistic Bayesian Inference

被引：0
|
作者：
Borisov, V. V. [1 ]
Ponomarenko, A. S. [1 ]
Fedulov, A. S. [1 ]
Bobkov, V. I. [1 ]
机构：
[1] Natl Res Univ, Smolensk Branch, Moscow Power Engn Inst, 1 Energeticheskiy Dr, Smolensk 2014013, Russia
来源：
MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2019) | 2019年 / 2176卷
关键词：
D O I：
10.1063/1.5135152
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper proposes a method for complex system risk assessment based on the fuzzy probabilistic Bayesian inference, which enables us to solve the problem of result uncertainty accumulation, which arises from the multiple account of the degree of fuzziness of the same fuzzy variables in massive fuzzy computations. The effect is achieved due to the implementation of modal interaction among the fuzzy variables of fuzzy Bayesian models.
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页数：4
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