Personnel selection based on computing with words and fuzzy MULTIMOORA

Authors:
Alvydas Baleentis;Tomas Baleentis;Willem K. M. Brauers
Affiliations:
Department of Strategic Management, Mykolas Romeris University, Valakupiu g. 5, LT-10101 Vilnius, Lithuania;Department of Quantitative Methods and Modelling, Vilnius University, Sauletekio al. 9, LT-10222 Vilnius, Lithuania;Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 10, LT-10223 Vilnius, Lithuania
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

Personnel selection process is aimed at choosing the best candidate to fill the defined vacancy in a company. It determines the input quality of personnel and thus plays an important role in human resource management. Given the uncertain, ambiguous, and vague nature of personnel selection process, it requires the application of multi-criteria decision making (MCDM) methods for robust recruitment. This paper hence is aimed at extending the fuzzy MULTIMOORA for linguistic reasoning under group decision making. The fuzzy MULTIMOORA was further modified in this study. The fuzzy MULTIMOORA for group decision making (MULTIMOORA-FG) enables to aggregate subjective assessments of the decision-makers and thus offer an opportunity to perform more robust personnel selection procedures. A personnel selection problem illustrated the group decision-making procedure according to MULTIMOORA-FG: the enterprise has formed an executive committee consisting of four decision-makers to choose the best candidate from another four participants to fill the vacancy. The committee has decided to consider eight qualitative attributes expressed in linguistic variables. The numerical example exhibited possibilities for improvement of human resources management as well as any other business decision area by applying MULTIMOORA-FG.