General nodes; Noisy-MAX nodes; Bayesian networks; structural learning; sensitivity analysis; validation

In the context of developing modern intel-ligent information systems, one of the key tasks is to build models that can effectively work with incomplete, fuzzy or uncertain data. Predictive modelling often faces the problem of the lack of complete information about objects or processes, which complicates the establishment of reliable analytical conclusions.