INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2012, Vol. 23, No. 2, 173-190 © Institute of Mathematics and Informatics, ISSN 0868-4952 MULTIMOORA-FG: a Multi-Objective Decision Making Method for Linguistic Reasoning with an Application to Personnel Selection Alvydas BALEZENTIS, Tomas BALEZENTIS, Willem K.M. BRAUERS Mykolas Romeris University, Valakupiu 5, LT-10101 Vilnius, Lithuania Lithuanian Institute of Agrarian Economics, V. Kudirkos 18, LT-03105 Vilnius, Lithuania University of Antwerp, Birontlaan, 97, B2600 Berchem-Antwerpen, Belgium E-mail: a.balezentis@gmail.com, tomas@laei.lt, willem.brauers@ua.ac.be Abstract This paper aims to extend fuzzy MULTIMOORA with linguistic reasoning and group decision-making (MULTIMOORA-FG). The new method consists of the three parts, namely the fuzzy Ratio System, the fuzzy Utopian Reference Point, and the fuzzy Full Multiplicative Form offering a robust comparison of alternatives against multiple objectives. In addition, MULTIMOORA-FG is designed to deal with triangular fuzzy numbers which, in turn, can resemble linguistic variables. MULTIMOORA-FG is a proper instrument for linguistic reasoning under fuzzy environment. In our study an application of personnel selection illustrates the group decision-making procedure according to MULTIMOORA-FG. Given the uncertainties peculiar of personnel selection, the application of multi-objective decision making (MODM) is required in this area. Fuzzy MULTIMOORA enables to aggregate subjective assessments of the decision-makers and thus offer an opportunity to perform a more robust personnel selection. The committee decided to consider eight qualitative characteristics expressed in linguistic variables. A numerical example exhibited possibilities for improvement of human resources management or any other business decision-making by applying MULTIMOORA-FG. Keywords: personnel selection, personnel management, employment decisions, human resources management, multi-objective optimization, MULTIMOORA, MULTIMOORA-FG, fuzzy number, linguistic reasoning To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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