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

Abstract

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.