dc.contributor.author | Ulutaş, Alptekin | |
dc.contributor.author | Stanujkic, Dragisa | |
dc.contributor.author | Karabasevic, Darjan | |
dc.contributor.author | Popovic, Gabrijela | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Smarandache, Florentin | |
dc.contributor.author | Brauers, Willem K.M. | |
dc.date.accessioned | 2023-09-18T20:43:28Z | |
dc.date.available | 2023-09-18T20:43:28Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 0868-4952 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/152059 | |
dc.description.abstract | The main aim of the article is to propose a new multiple criteria decision-making approach for selecting alternatives, the newly-developed MULTIMOOSRAL approach, which integrates advantages of the three well-known and prominent multiple-criteria decision-making methods: MOOSRA, MOORA, and MULTIMOORA. More specifically, the MULTIMOOSRAL method has been further upgraded with an approach that can be clearly seen in the well-known WASPAS and CoCoSo methods, which rely on the integration of weighted sum and weighted product approaches. In addition to the above approaches, the MULTIMOOSRAL method also integrates a logarithmic approximation approach. The expectation from the development of this method is that the integration of several approaches can provide a much more reliable selection of the most appropriate alternative, which can be very important in cases where the performance of alternatives obtained by using some other method does not differ much. Finally, the ranking of alternatives based on the dominance theory, used in the MOORA and MULTIMOORA methods, is replaced by a new original approach that should allow a much simpler final ranking of alternatives in order to reach a stronger result with five different techniques. The suitability and efficacy of the proposed MULTIMOOSRAL approach are presented through an illustrative case study of the supplier selection. | eng |
dc.format | PDF | |
dc.format.extent | p. 145-161 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | https://doi.org/10.15388/21-INFOR445 | |
dc.title | Developing of a novel integrated MCDM MULTIMOOSRAL approach for supplier selection | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | Open access article under the CC BY license. | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 38 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Sivas Cumhuriyet University | |
dc.contributor.institution | University of Belgrade | |
dc.contributor.institution | University Business Academy in Novi Sad | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | University of New Mexico | |
dc.contributor.institution | University of Antwerp | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 004 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.vgtuprioritizedfields | SD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | MOOSRA | |
dc.subject.en | MOORA | |
dc.subject.en | MULTIMOORA | |
dc.subject.en | logarithmic approximation | |
dc.subject.en | MULTIMOOSRAL | |
dc.subject.en | MCDM | |
dcterms.sourcetitle | Informatica | |
dc.description.issue | iss. 1 | |
dc.description.volume | vol. 32 | |
dc.publisher.name | Vilnius University | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 000640109800007 | |
dc.identifier.doi | 10.15388/21-INFOR445 | |
dc.identifier.elaba | 91459390 | |