Rodyti trumpą aprašą

dc.contributor.authorKrylovas, Aleksandras
dc.contributor.authorDadelo, Stanislavas
dc.contributor.authorKosareva, Natalja
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.date.accessioned2023-09-18T16:59:43Z
dc.date.available2023-09-18T16:59:43Z
dc.date.issued2017
dc.identifier.issn0219-6220
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/118638
dc.description.abstractEntropy–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.eng
dc.formatPDF
dc.format.extentp. 1183-1209
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyJournal Citation Reports/Science Edition
dc.relation.isreferencedbyCompuMath Citation Index
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.1142/S0219622017500274
dc.subjectFM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes
dc.titleEntropy–KEMIRA approach for MCDM problem solution in human resources selection task
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references43
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyKūrybinių industrijų fakultetas / Faculty of Creative Industries
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enEntropy
dc.subject.enMCDM methods
dc.subject.enKEMIRA
dc.subject.enCriteria weights
dc.subject.enHuman resources
dcterms.sourcetitleInternational journal of information technology & decision making
dc.description.issueiss. 5
dc.description.volumeVol. 16
dc.publisher.nameWorld Scientific
dc.publisher.citySingapure
dc.identifier.doi000411160700003
dc.identifier.doi2-s2.0-85029641755
dc.identifier.doi10.1142/S0219622017500274
dc.identifier.elaba24119096


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