A Fuzzy AHP-TOPSIS-Based Group Decision-Making Approach to IT Personnel Selection

Abstract

Global competition and the rapid development of information technologies force organizations to continuously change their ways. Nowadays organizations need personnel who make a difference through innovative ideas and who keep up with the rapid changes. In this paper the personnel selection process in a Turkish dairy company's information technology (IT) department is discussed as a group multi-criteria decision-making problem. The main purpose of the paper is to select the best employee candidate for an IT department by integrating fuzzy analytic hierarchy process (fuzzy AHP) with Chang's (Eur J Oper Res 95(3):649-655 1996) extent analysis and fuzzy The Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). Decision makers' (DMs) verbal evaluations are included in the process using intuitionistic fuzzy numbers. In fuzzy AHP-TOPSIS calculations during the group decision-making process hierarchical level weights reflecting the importance of DMs' verbal evaluations are utilized. First with fuzzy AHP the importance weights of thirty sub-criteria are determined and then with fuzzy TOPSIS five IT personnel alternatives are ranked utilizing the weights obtained with fuzzy AHP.