Lilia Yu. Emaletdinova

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This paper solves the task of complex objects approximation with a discrete output based on information approach to modeling. We propose a model of fuzzy rules and the inference algorithm on the rules, and describe the neuro-fuzzy model for generation of a knowledge base. The approximation of known data sets and comparison of the results with those of other(More)
We suggested a method for quantitative information security risk management in computer networks. We used fuzzy estimations of the risk factors and quantitative risk assessment method under the safeguards. We used analytic hierarchy process for quantitative assessment of qualitative risk and cost/benefit subfactors. We used optimization tasks for selection(More)
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