Identifying and prioritizing the factors to determine best insulation material using Bayesian best worst method
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sage Publications Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Bayesian Best Worst Method; Insulation Materials; Multi-Criteria Decision-Making; Probability; Sustainability, Masonry Buildings; Wall Insulation; Multicriteria; Sector
Kaynak
Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineering
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
