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Personnel Selection Using Fuzzy VIKOR Methodology

International Journal of Management Science
Vol.5 , No. 2, Publication Date: Jan. 25, 2019, Page: 10-17

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Authors

[1]	Kemal Gokhan Nalbant, Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey.
[2]	Yavuz Ozdemir, Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey.

Abstract

Personnel selection is a fundamental business process for companies. Training, work experience and personal characteristics are the qualities that are considered for employee to be recruited. Selecting the best personnel for a job or a promotion can be handled as a Multi Criteria Decision Making (MCDM) problem. Solving a multi-criteria decision problem offers decision makers suggestions, regarding the best decision choices (alternatives). The aim of this paper is to determine the best performing personnel for promotion using one of a MCDM methodology, the fuzzy VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multi criteria Optimisation and Compromise Solution) for a real personnel selection problem. For a case study in Turkey, personnel alternatives (A1, A2, A3, A4) waiting for promotion are ranked according to personnel selection criteria (22 sub-criteria are classified under 5 main criteria by 5 decision makers) using the fuzzy VIKOR with type 2 (trapezoidal) fuzzy numbers and the best-performing personnel is selected for promotion. According to the results, the best solution is found as Alternative A3. This study provides a more efficient approach to develop the best alternative under each of the selection criteria. Moreover, the Fuzzy VIKOR methodology helps managers/human resources department to easily predict how they can evaluate and promote employees. The main contribution of this study is to improve literature of fuzzy decision making for personnel selection problem.

Keywords

Personnel Selection, Personnel Selection Criteria, Trapezoidal Fuzzy Numbers, Multi Criteria Decision Making (MCDM), Fuzzy VIKOR Methodology

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