TITLE:
Application of Fuzzy Optimization Method in Decision-Making for Personnel Selection
AUTHORS:
Masuma Mammadova, Zarifa Jabrayilova
KEYWORDS:
Support Decision, Human Resource Management, Personnel Selection Problem, Fuzzy Multicriterial Model, Criteria Coefficients, Fuzzy Number, TOPSIS Method
JOURNAL NAME:
Intelligent Control and Automation,
Vol.5 No.4,
October
15,
2014
ABSTRACT: 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.