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dc.contributor.authorAmiri, Maghsoud
dc.contributor.authorHashemi-Tabatabaei, Mohammad
dc.contributor.authorGhahremanloo, Mohammad
dc.contributor.authorKeshavarz-Ghorabaee, Mehdi
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorKaklauskas, Artūras
dc.date.accessioned2023-09-18T20:44:05Z
dc.date.available2023-09-18T20:44:05Z
dc.date.issued2021
dc.identifier.other(WOS_ID)000645339900001
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/152170
dc.description.abstractEvaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative method (QQM) and a simplified best-worst method (SBWM). The SBWM method was used because it simplifies BWM calculations and does not require solving complex mathematical models. Reducing the time required to perform calculations and eliminating the need for complicated computer software are among the advantages of the proposed method. The QQM method has also been used due to its ability to evaluate quantitative and qualitative criteria simultaneously. The feasibility and applicability of the SBWM were examined using three numerical examples and a case study, and the results were evaluated. The results of the case study showed that the criteria of the estimated cost, comfort level, and basic floor area were, in order, the most important criteria among the others. The results of the numerical examples and the case study showed that the proposed method had a lower total deviation (TD) compared to the basic BWM. Sensitivity analysis results also confirmed that the proposed approach has a high degree of robustness for ranking and weighting criteria.eng
dc.formatPDF
dc.format.extentp. 1-28
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.isreferencedbyDOAJ
dc.relation.isreferencedbyScopus
dc.source.urihttps://doi.org/10.3390/su13084487
dc.titleEvaluating life cycle of buildings using an integrated approach based on quantitative-qualitative and simplified best-worst methods (QQM-SBWM)
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.references86
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionAllameh Tabataba’i University
dc.contributor.institutionShahrood University of Technology
dc.contributor.institutionGonbad Kavous University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental 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.enlife cycle of buildings
dc.subject.enmulti-criteria decision-making (MCDM)
dc.subject.enbest-worst method (BWM)
dc.subject.ensimplified BWM
dc.subject.enquantitative-qualitative method (QQM)
dc.subject.enpairwise comparisons
dcterms.sourcetitleSustainability: Special Issue Decision Support Systems and Multiple Criteria Decision Making for Sustainable Development
dc.description.issueiss. 8
dc.description.volumevol. 13
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000645339900001
dc.identifier.doi10.3390/su13084487
dc.identifier.elaba94499927


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