Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Using fuzzy hybrid systems in problems of identification and authentication K.S. SUMKIN Article is devoted to the organization of user identification and authentication in the automated system of the university. It is shown that the results achieved to date in addressing the challenges of data mining user identification and authentication, do not provide the required level of network security in general. Unsolved problem is the lack of support analysis using fuzzy sets of subjects and objects. As a basic solution of the problem analysis of multiple subjects and objects used fuzzy logic. Used evaluation function separability and compactness, as well as optimized Maximin method. In this paper we present an algorithm for clustering uncertain objects and subjects. Keywords: identification and authentication of users, clustering, fuzzy sets, fuzzy relational data model, the membership function. Contacts: E-mail:skainet-1984@mail.ru Pp. 30-34.