Entropy–KEMIRA Approach for MCDM Problem Solution in Human Resources Selection Task

Aleksandras Krylovas (), Stanislavas Dadelo (), Natalja Kosareva and Edmundas Kazimieras Zavadskas ()
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Aleksandras Krylovas: Department of Mathematical Modelling, Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, Lithuania
Stanislavas Dadelo: Department of Philosophy and Communication, Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, Lithuania
Natalja Kosareva: Department of Mathematical Modelling, Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, Lithuania
Edmundas Kazimieras Zavadskas: Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, Lithuania

International Journal of Information Technology & Decision Making (IJITDM), 2017, vol. 16, issue 05, 1183-1209

Abstract: Entropy–KEMIRA approach is proposed for criteria ranking and weights determining when solving Multiple Criteria Decision-Making (MCDM) problem in human resources selection task. For the first time the method is applied in the case of three groups of criteria. Weights are calculated by solving optimization problem of maximizing the number of elements, which are “best” according to all three criteria, and minimizing the number of “doubtful” elements. The algorithm of problem solution is presented in the paper. The numerical experiment with three groups of evaluation criteria describing 11 life goals was accomplished.

Keywords: Entropy; MCDM methods; KEMIRA; criteria weights; human resources (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0219622017500274

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