Title
Personnel selection based on computing with words and fuzzy MULTIMOORA Personnel selection based on computing with words and fuzzy MULTIMOORA
Author
Faculty/Department
Faculty of Applied Economics
Institute of Development Policy and Management
Publication type
article
Publication
New York ,
Subject
Economics
Source (journal)
Expert systems with applications. - New York
Volume/pages
39(2012) :9 , p. 7961-7967
ISSN
0957-4174
ISI
000303281600038
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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 (MULTIMOORAFG) 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 MULTIMOORAFG: 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 MULTIMOORAFG.
E-info
https://repository.uantwerpen.be/docman/iruaauth/f6dafe/0950e106710.pdf
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