Identifying and prioritizing the factors to determine best insulation material using Bayesian best worst method

dc.authoridAyyıldız, Ertuğrul/0000-0002-6358-7860
dc.authoridErdoğan, Melike/0000-0003-0329-8562
dc.authorwosidAyyıldız, Ertuğrul/AAR-6303-2020
dc.contributor.authorAyyıldız, Ertuğrul
dc.contributor.authorErdoğan, Melike
dc.date.accessioned2023-07-26T11:58:09Z
dc.date.available2023-07-26T11:58:09Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe issue related to energy efficiency is being addressed worldwide as a subject that is becoming more and more important every day. The implementation of insulation measures for buildings, which is one of the most crucial measures of energy consumption, is a critical issue that can be applied to both increase efficiency and reduce the greenhouse gas effect. While trying to create buildings that are efficient in terms of energy consumption, the sustainability factor should always be paid regard primarily. Since different insulation materials are used in the building insulation process, it is necessary to consider many factors in the evaluation of these materials. The complex nature of the selection of insulation materials problem requires a multi-criteria decision approach to apply a detailed and systematic evaluation. Considering all of these, it is aimed to evaluate the building insulation materials under the sustainability perspective by using the Bayesian best worst method in this paper. As a result, the weights are calculated and ranking of the criteria is obtained and finally, the most and least important factors are revealed for the building insulation selection problem. The economic and performance criteria are determined as the most important to determine the best insulation material.en_US
dc.identifier.doi10.1177/09544089221111586
dc.identifier.issn0954-4089
dc.identifier.issn2041-3009
dc.identifier.scopus2-s2.0-85133839205en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1177/09544089221111586
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13416
dc.identifier.wosWOS:000823717700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorErdoğan, Melike
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofProceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectBayesian Best Worst Method; Insulation Materials; Multi-Criteria Decision-Making; Probability; Sustainabilityen_US
dc.subjectMasonry Buildings; Wall Insulation; Multicriteria; Sectoren_US
dc.titleIdentifying and prioritizing the factors to determine best insulation material using Bayesian best worst methoden_US
dc.typeArticleen_US

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