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dc.contributor.authorMaceika, Augustinas
dc.contributor.authorBugajev, Andrej
dc.contributor.authorŠostak, Olga Regina
dc.contributor.authorVilutienė, Tatjana
dc.date.accessioned2023-09-18T20:43:49Z
dc.date.available2023-09-18T20:43:49Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/152124
dc.description.abstractThis research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.eng
dc.formatPDF
dc.format.extentp. 1-33
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyCABI (abstracts)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.3390/su13105502
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:93406311/datastreams/MAIN/content
dc.titleDecision tree and AHP methods application for projects assessment: a case study
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references88
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionB04 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionA01 - Matematika / Mathematics
dc.subject.studydirectionE05 - Statybos inžinerija / Civil engineering
dc.subject.studydirectionL02 - Vadyba / Management studies
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.enproject assessment
dc.subject.ensustainability criteria
dc.subject.endecision tree
dc.subject.enanalytic hierarchy process
dc.subject.enconstruction projects
dc.subject.ensensitivity analysis
dc.subject.endecision robustness
dcterms.sourcetitleSustainability: Special issue: Sustainable construction engineering and management
dc.description.issueiss. 10
dc.description.volumevol. 13
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000662616000001
dc.identifier.doi10.3390/su13105502
dc.identifier.elaba93406311


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