A New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods

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dc.authoridZavadskas, Edmundas Kazimieras/0000-0002-3201-949X
dc.authoridTurskis, Zenonas/0000-0002-5835-9388
dc.authoridUlutas, Alptekin/0000-0002-8130-1301
dc.authoridStanujkic, Dragisa/0000-0002-6846-3074
dc.authoridPopovic, Gabrijela/0000-0002-2652-4860
dc.authoridKarabasevic, Darjan/0000-0001-5308-2503
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorPopovic, Gabrijela
dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorTurskis, Zenonas
dc.date.accessioned2024-10-26T18:09:27Z
dc.date.available2024-10-26T18:09:27Z
dc.date.issued2020
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractPeople represent one of the most significant resources of an organization, and therefore, personnel selection is one of the problems that organizations have increasingly been facing. The criteria that influence the final decision are usually opposing, so the application of multiple-criteria decision-making methods (MCDM) represents a suitable way for the facilitation of the given process. Additionally, the decision environment is characterized by the vagueness and uncertainty and, because of that, it is very hard to express the criteria over the exact crisp numbers. To acknowledge the unpredictability and obscurity of the available information important for the selection of the optimal candidate, a hybrid grey MCDM model for personnel selection is proposed in this paper. As an extension of the PIPRECIA method, the novel Grey Pivot Pairwise Relative Criteria Importance Assessment-the PIPRECIA-G method-is proposed and used for the determination of criteria importance. The PIPRECIA-G method preserved the good features of the PIPRECIA, but its superiority is reflected in its ability to deal with input data that are vague and grey. For the final ranking of the considered alternative candidates, the OCRA-G method is used. Basing the decision process and candidate selection on the two grey extended MCDM methods contributes to the increase of the reliability and confidence in the performed selection.
dc.identifier.doi10.3390/math8101698
dc.identifier.issn2227-7390
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85092918383
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/math8101698
dc.identifier.urihttps://hdl.handle.net/20.500.12418/30123
dc.identifier.volume8
dc.identifier.wosWOS:000618698300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofMathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectpersonnel selection
dc.subjectPIPRECIA-G
dc.subjectOCRA-G
dc.subjectMCDM
dc.titleA New Hybrid MCDM Model for Personnel Selection Based on a Novel Grey PIPRECIA and Grey OCRA Methods
dc.typeArticle

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