User identification and authentication system based on a hybrid fuzzy approach

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This paper is devoted to organizing the process of user identification and authentication in an automatic system of a university. It is shown that currently available solutions for identification and authentication data mining do not ensure adequate security of the network as a whole. Fuzzy logic is used as the main solution for the problem of analyzing the sets of subjects and objects. Functions for evaluating separability and compactness, as well as an optimized maximin method, are used. An algorithm for clustering indefinite subjects and objects is presented.