Rodyti trumpą aprašą

dc.contributor.authorHatefi, Seyed Morteza
dc.contributor.authorTamošaitienė, Jolanta
dc.date.accessioned2023-09-18T17:31:46Z
dc.date.available2023-09-18T17:31:46Z
dc.date.issued2019
dc.identifier.issn1392-3730
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/124086
dc.description.abstractConstruction projects are associated with a number of uncertainties due to their expanse, complex nature, uniqueness, and dynamic states. Risks in construction projects are, indeed, the events or uncertain situations that can have negative or positive consequences on the project objectives. Many of the risks inherent in construction projects affect each other. For example, the time risk in construction projects can affect the cost risk and vice versa. The intertwined relations between risk factors are ignored in the traditional construction risk assessment methods. To fulfill this gap, this paper proposes an integrated fuzzy DEMATEL-fuzzy ANP model to evaluate construction projects and their overall risks by considering intertwined relations among risk factors. Fuzzy DEMATEL is used to determine the interrelationships and interdependencies among risk factors. The network structure for implementing the fuzzy ANP method is extracted based on the results of fuzzy DEMATEL. The fuzzy ANP is applied to assess the relative importance of risk factors and alternatives and prioritize construction projects. The proposed integrated model is used to evaluate five construction projects based on risk factors in Isfahan, Iran. The results of applying the integrated model reveal that the time, cost and safety risks with the weight values of 0.056, 0.038, and 0.034 are the most important factors among construction risks, respectively. The results reveal that the proposed model can help managers to evaluate the overall risks of construction projects, and select the best project that has the lowest risk.eng
dc.formatPDF
dc.format.extentp. 114-131
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyICONDA
dc.relation.isreferencedbyGale's Academic OneFile
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3846/jcem.2019.8280
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:34436876/datastreams/MAIN/content
dc.titleAn integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors
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 unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.references40
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionShahrekord 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.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enconstruction projects
dc.subject.enrisk assessment
dc.subject.eninterrelations among risk factors
dc.subject.enfuzzy DEMATEL
dc.subject.enfuzzy analytic network process (ANP).
dcterms.sourcetitleJournal of civil engineering and management
dc.description.issueiss. 2
dc.description.volumevol. 25
dc.publisher.nameVGTU Press
dc.publisher.cityVilnius
dc.identifier.doi000459822000003
dc.identifier.doi2-s2.0-85064438340
dc.identifier.doi10.3846/jcem.2019.8280
dc.identifier.elaba34436876


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