The paper describes the necessity of application of intelligent technologies to support decisions of more objective problems in human resource management. In this paper, we describe the methodology for personnel selection problem for the vacancy with regard to the importance and nonequivalence of numerous indicators characterizing the alternatives. The specific features of the selection problem are highlighted, immersing the problem into a fuzzy environment. A fuzzy multicriterial model of the personnel selection problem is proposed. A technique of order preference by similarity to ideal solition (TOPSIS), was applied for evaluation and regulation of alternatives. This technique is based on criteria of qualitative character, which are hierarchically structured by multiple experts to intellectually support decisions made in personnel selection problem. Using TOPSIS method and generated criteria system an experiment was conducted for evaluation of the candidates during solution of hiring problems. The obtained and reviewed results were compared with results obtained using in reality.

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This article investigates the problems of personal data security in the electronic medical system. Approaches to information security support of patients' medical data are presented, features of personal medical data are specified, and potential threats to the privacy and safety of the data in medical information systems are identified. The legal basis of personal data security in Azerbaijan is reviewed, and the feasibility of regulating the information security of personal medical data in Azerbaijan is justified.

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