Abstract:

With the development of an innovative economy, human resources are transformed into the main strategic resource, providing long-term competitiveness and achievement of the organizational goals. Therefore, developing new conceptual approaches and promising technologies of human resource management is of particular relevance and practical significance. The paper highlights the specific features of human resource management (HRM) problems, allowing to identify them as the problems of multi-criteria analysis and decision-making in a fuzzy environment. A generalized conceptual model of decision-making in HRM problems was proposed. It is proved that for increasing the efficiency and transparency of decisions in the human resource management, using multi-criteria optimization based on the TOPSIS method is appropriate, and the advantages of the latter were shown. A TOPSIS modification, which lies in integrating an additional component that provides a calculation based on the hierarchy analysis method of expert competence coefficients into the decision-making algorithm was proposed. Using the methods of TOPSIS and scoring on the example of the employment problem, experimental calculations for ranking alternatives, having demonstrated the effectiveness of the proposed approach were carried out. Author Biographies Масума Гусейн кызы Мамедова, Institute of Information Technology of the National Academy of Sciences of Azerbaijan st. B. Vahabzada, 9, Baku, Azerbaijan, Az1141 Doctor of Technical Sciences, Professor

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