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dc.contributor.authorFallahpour, Alireza
dc.contributor.authorWong, Kuan Yew
dc.contributor.authorRajoo, Srithar
dc.contributor.authorOlugu, Ezutah Udoncy
dc.contributor.authorNilashi, Mehrbakhsh
dc.contributor.authorTurskis, Zenonas
dc.date.accessioned2023-09-18T20:20:43Z
dc.date.available2023-09-18T20:20:43Z
dc.date.issued2020
dc.identifier.issn1392-3730
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/149104
dc.description.abstractSustainability has become a key concern for project selection in construction industries. Determining the best sustainable project based on various sustainability attributes is a very complicated decision. Accordingly, developing a suitable decision support framework can be very helpful for decision makers to attain planned business goals and complete projects at the right time with good quality. This research develops a decision support model which helps managers to understand the concept of sustainability in construction project selection and choose the best project using a new integrated Multi-Criteria Decision Making (MCDM) approach under uncertainty by integrating Fuzzy Preference Programming (FPP) as a modification of Fuzzy Analytical Hierarchy Process (FAHP), with Fuzzy Inference System (FIS) as a fuzzy rulebased expert system. In the first phase of the research, fifteen sustainability attributes were selected. In the second phase, the final weight of each attribute was computed by using FPP. In the last phase, the most appropriate project was selected by running the weighted FIS. The results showed that Project 3 (P3) is the best project. Finally, two different evaluative tests were also applied to verify the validity and robustness of the developed model.eng
dc.formatPDF
dc.format.extentp. 247-258
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyICONDA
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyGale's Academic OneFile
dc.relation.isreferencedbyTOC Premier
dc.relation.isreferencedbyProQuest Central
dc.source.urihttps://journals.vgtu.lt/index.php/JCEM/article/view/12183/9827
dc.source.urihttps://doi.org/10.3846/jcem.2020.12183
dc.titleA fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unre-stricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references45
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversiti Teknologi Malaysia
dc.contributor.institutionUCSI University
dc.contributor.institutionDuy Tan University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionE05 - Statybos inžinerija / Civil engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensustainability
dc.subject.enproject selection
dc.subject.ensustainable project selection
dc.subject.enmulti-criteria decision making
dcterms.sourcetitleJournal of civil engineering and management
dc.description.issueiss. 3
dc.description.volumevol. 26
dc.publisher.nameVGTU Press
dc.publisher.cityVilnius
dc.identifier.doi000526077000003
dc.identifier.doi10.3846/jcem.2020.12183
dc.identifier.elaba53863545


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