A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Abstract

This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

Automated Decision-Making with TOPSIS for Water Analysis

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Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

“…The analytic hierarchy process (AHP) has found applications in project selection, risk assessment, and supplier evaluation [28]. TOPSIS has been utilized in contractor selection, facility location, and project prioritization [29,30]. ELECTRE methods have been employed in facility management, supplier selection, and construction project prioritization, allowing decision-makers to consider preference thresholds.…”

“…(b) Organization criteria (OC): These refer to the considerations relating to the organizational features and needs for the successful installation and utilization of AI solutions in the construction sector [30]. The organizational capabilities, preparation, and structure that are crucial for successfully implementing AI technologies in the construction process are the main focus of these sub-criteria.…”

Establishing a GIS-SMCDA model of sustainable eco-tourism development in Pahang, Malaysia

“…Since the 1990s, urban planners in coastal regions have increasingly focused their attention on incorporating a multi-criteria decision-making approach with GIS to solve spatial planning problems (Bagheri et al, 2021a,b). The AHP followed by Analytic Network Mechanism (ANP), Technique for Order Choice by Resemblance to an Ideal Solution (TOPSIS) and Basic Additive Weighting is the most widely used MCDA method (Chen, 2021). Pawluszek and Borkowski (2017) stated that AHP remains one of the most widely used strategies in the MCDA environment.…”