Intellectualization of Data Processing of Non-Stationary Objects in a Complex Problem Environment

Abstract

Scientific and methodological foundations for building an intelligent system for analyzing and processing data in a complex problem environment have been developed based on the use of neural networks, fuzzy set models, fuzzy inference algorithms, knowledge bases and databases. Methods for the formation of fuzzy rules of the knowledge base, modeling of membership functions, determination of the boundaries of membership of the values of input variables, intervals of linguistic terms of input and output of neuro-fuzzy networks are proposed.