Identifying the Most Efficient Natural Fibre for Common Commercial Building Insulation Materials with an Integrated PSI, MEREC, LOPCOW and MCRAT Model

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dc.authoridTopal, Ayse/0000-0003-1882-4545
dc.authoridBALO, Figen/0000-0001-5886-730X
dc.authoridUlutaş, Alptekin/0000-0002-8130-1301
dc.authorwosidTopal, Ayse/AAH-2633-2020
dc.authorwosidBALO, Figen/W-1865-2018
dc.authorwosidUlutaş, Alptekin/HHZ-2996-2022
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorBalo, Figen
dc.contributor.authorTopal, Ayse
dc.date.accessioned2024-08-04T20:53:35Z
dc.date.available2024-08-04T20:53:35Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractBuilding insulation is the most respected among the compatible and effective energy conservation technologies available today, as it also reduces yearly energy costs and negative environmental effects. A building envelope is made up of various insulation materials that are important in determining a building's thermal performance. Proper insulation material selection concludes in less energy requisition for operation. The purpose of this research is to supply information about natural fibre insulating materials used in construction insulation to maintain energy efficiency, as well as to recommend the most efficient natural fibre insulation material. As in most decision-making problems, several criteria and alternatives are involved in insulation material selection, too. Therefore, we used a novel integrated multi criteria decision making (MCDM) model including the preference selection index (PSI), method based on the removal effects of criteria (MEREC), logarithmic percentage change-driven objective weighting (LOPCOW), and multiple criteria ranking by alternative trace (MCRAT) methods to deal with the complexity of numerous criteria and alternatives. The contribution of this study is that a new hybrid MCDM method is developed. Additionally, the number of studies using the MCRAT method is very limited in the literature; therefore, this study will provide more insights into and results of this method to the literature.en_US
dc.identifier.doi10.3390/polym15061500
dc.identifier.issn2073-4360
dc.identifier.issue6en_US
dc.identifier.pmid36987280en_US
dc.identifier.scopus2-s2.0-85151715189en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/polym15061500
dc.identifier.urihttps://hdl.handle.net/11616/101274
dc.identifier.volume15en_US
dc.identifier.wosWOS:000957735500001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofPolymersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectinsulation material selectionen_US
dc.subjectLOPCOWen_US
dc.subjectMCDMen_US
dc.subjectMCRATen_US
dc.subjectMERECen_US
dc.subjectPSIen_US
dc.titleIdentifying the Most Efficient Natural Fibre for Common Commercial Building Insulation Materials with an Integrated PSI, MEREC, LOPCOW and MCRAT Modelen_US
dc.typeArticleen_US

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