Mathematical Measurements on the Basis of Bayesian Intelligent Technologies: Prospects in the Study of Development Processes of Complex Systems

Modern science has a significant need for powerful mathematical methods to create and use adequate models of real processes. However, these processes in practice are formed in the conditions of uniqueness of the situations determined by unsteadiness of development. tional models, on the contrary, are based on the postulates of determinism of factors. The article describes a progressive method of overcoming such a “gap”, called “regulatory Bayesian approach This development can not only create a reliable mathematical platform for the analysis of the situation in a changing environment, but also able to carry out the current adjustment of forecasts based on the processing of new data of different types and fuzzy.