| dc.contributor.author | Krylovas, Aleksandras | |
| dc.contributor.author | Dadelo, Stanislavas | |
| dc.contributor.author | Kosareva, Natalja | |
| dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
| dc.date.accessioned | 2023-09-18T16:59:43Z | |
| dc.date.available | 2023-09-18T16:59:43Z | |
| dc.date.issued | 2017 | |
| dc.identifier.issn | 0219-6220 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/118638 | |
| dc.description.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. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1183-1209 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | RePec | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | Journal Citation Reports/Science Edition | |
| dc.relation.isreferencedby | CompuMath Citation Index | |
| dc.relation.isreferencedby | INSPEC | |
| dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
| dc.source.uri | https://doi.org/10.1142/S0219622017500274 | |
| dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
| dc.title | Entropy–KEMIRA approach for MCDM problem solution in human resources selection task | |
| dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
| dcterms.references | 43 | |
| dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.contributor.faculty | Kūrybinių industrijų fakultetas / Faculty of Creative Industries | |
| dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
| dc.subject.researchfield | N 001 - Matematika / Mathematics | |
| dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
| dc.subject.en | Entropy | |
| dc.subject.en | MCDM methods | |
| dc.subject.en | KEMIRA | |
| dc.subject.en | Criteria weights | |
| dc.subject.en | Human resources | |
| dcterms.sourcetitle | International journal of information technology & decision making | |
| dc.description.issue | iss. 5 | |
| dc.description.volume | Vol. 16 | |
| dc.publisher.name | World Scientific | |
| dc.publisher.city | Singapure | |
| dc.identifier.doi | 000411160700003 | |
| dc.identifier.doi | 2-s2.0-85029641755 | |
| dc.identifier.doi | 10.1142/S0219622017500274 | |
| dc.identifier.elaba | 24119096 | |