DECISION-MAKING SUPPORT IN HUMAN RESOURCE MANAGEMENT BASED ON MULTI-OBJECTIVE OPTIMIZATIONM.H. MAMMADOVA , Z.G. JABRAYILOVA (pp. 52-72)
The objective of this research is to develop a methodological approach to making managerial decisions in human resource management tasks. The paper substantiates the expedience of using multi-objective optimization, based on the Technique for Order of Preference by Similarity to Ideal Solution, to (or “intending to”) improving the efficiency and transparency of human resource management decisions. A modified Technique is suggested to ensure the adaptability of multi-criteria decision-making in human resource management tasks. This modification consists in the integration of additional components into the decision algorithm. The method was tested during the solution of the real problem of selecting the best candidate among the applicants for the vacancies at the State Oil Company of the Azerbaijan Republic Human Resource Management Department. The results of the experiment showed the practical applicability and efficiency of the suggested approach for the objective and adequate evaluation of professional, qualification, and personal qualities of applicants, and for the support of managers during decision-making in the selection of personnel by the long-term tasks of the organization.
decision making support, human resource management, TOPSIS, fuzzy environment, multi-objective optimization.