Abstract
Specific problems arising in the creation of Bayesian networks for processing fuzzy information are considered. Conditions are obtained that ensure the probabilistic correctness of a priori data and results of network computing. For the case of nondeterministic states of network vertices, a fuzzy linear interpolation procedure is proposed. The presented results make it possible to perform correct probabilistic Bayesian estimation over fuzzy networks of any configuration.
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