A Novel Dynamic Multicriteria Decision‐Making Approach for Low‐Carbon Supplier Selection of Low‐Carbon Buildings Based on Interval‐Valued Triangular Fuzzy Numbers

Abstract

Due to the lack of natural resources and environmental problems which have been appearing increasingly, low‐carbon buildings are more and more involved in the construction industry. The selection of low‐carbon supplier is a significant part in the process of low‐carbon building construction projects. In this paper, we propose a novel dynamic multicriteria decision‐making approach for low‐carbon supplier selection in the process of low‐carbon building construction projects to deal with these problems. First, the paper establishes 5 main criteria and 17 subcriteria for low‐carbon supplier selection in the process of low‐carbon building construction projects. Then, a method considering interaction between criteria and the influence of constructors subjective preference and objective criteria information is proposed. It uses the basic concept and properties of the interval‐valued triangular fuzzy number intuitionistic fuzzy weighted Bonferroni means (IVTFNIFWBM) operators and the objective information entropy and TOPSIS‐based Euclidean distance to calculate the comprehensive evaluation results of potential low‐carbon suppliers. The proposed method is much easier for constructors to select low‐carbon supplier and make the localization of low‐carbon supplier more practical and accurate in the process of building construction projects. Finally, a case study about a low‐carbon building project is given to verify practicality and effectiveness of the proposed approach.