Development of Algorithms Accepting Diagnostic Decisions with the use of Neuro-Information Technologies

In the paper the algorithm for constructing a fuzzy model for diagnosing the state of weakly formalized processes, which allows solving the problems of classification, estimation and forecasting of the states of processes under conditions of weakly structured and uncertain information about these processes are considered. On the basis of mathematical analysis it is shown that it is important to ensure the adequacy of the model, that is, how correctly the current information on the subject of research is used in the modeling process.

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