dc.contributor.author | Keshavarz-Ghorabaee, Mehdi | |
dc.contributor.author | Amiri, Maghsoud | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Turskis, Zenonas | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.date.accessioned | 2023-09-18T17:07:55Z | |
dc.date.available | 2023-09-18T17:07:55Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/120009 | |
dc.description.abstract | Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of subcontractors can be made by some experts or decision-makers with respect to some criteria. If this process is done in different time periods, it can be defined as a dynamic multi-criteria group decision-making (MCGDM) problem. In this study, we propose a new fuzzy dynamic MCGDM approach based on the EDAS (Evaluation based on Distance from Average Solution) method for subcontractor evaluation. In the procedure of the proposed approach, the sets of alternatives, criteria and decision-makers can be changed at different time periods. Also, the proposed approach gives more weight to newer decision information for aggregating the overall performance of alternatives. A numerical example is used to illustrate the proposed approach and show the application of it in subcontractor evaluation. The results demonstrate that the proposed approach is efficient and useful in real-world decision-making problems. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-15 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | ScienceDirect | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.3390/info9030068 | |
dc.source.uri | http://www.mdpi.com/2078-2489/9/3/68 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:26909378/datastreams/MAIN/content | |
dc.subject | SD04 - Tvarus statinių gyvavimo ciklas / Sustainable lifecycle of the buildings | |
dc.title | A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 53 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Allameh Tabataba’i University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | Multi-criteria decision-making | |
dc.subject.en | Group decision-making | |
dc.subject.en | Subcontractor evaluation | |
dc.subject.en | MCDM | |
dc.subject.en | MADM | |
dc.subject.en | Fuzzy sets | |
dc.subject.en | Fuzzy EDAS | |
dcterms.sourcetitle | Information | |
dc.description.issue | iss. 3 | |
dc.description.volume | vol. 9 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 2-s2.0-85044156020 | |
dc.identifier.doi | 000436148300023 | |
dc.identifier.doi | 10.3390/info9030068 | |
dc.identifier.elaba | 26909378 | |