Complex system risk assessment based on the fuzzy probabilistic Bayesian inference
Vadim Vladimirovich Borisov, А. С. Пономаренко, Alexander Sergeevich Fedulov, Vladimir I. Bobkov · AIP conference proceedings · 2019
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.