Siting MSW landfills via the integration of DEMATEL-ANP and clustering algorithm in a fuzzy logic environment (Case Study: Lanzhou, China)

Abstract

The siting of Municipal Solid Waste (MSW) landfills is a complex decision based process that involves multiple hydrogeological, morphological, environmental, climatic, and socio-economic criteria. In a fuzzy logic environment, DEMATEL and ANP methods were employed to comprehensively consider uncertainty, fuzziness of data and the subjective scoring and stability of results to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30m resolution, criteria weights were determined via the integration of DEMATEL and ANP, and seven sets of membership functions were simulated to obtain the best fuzzy logic environment. Combining GIS spatial analysis and the three clustering algorithms (DBSCAN, HDBSCAN, and OPTICS), candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics and reachability were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This paper focuses on a flexible and novel framework for the selection of MSW landfill sites for Lanzhou, which is a semi-arid valley basin city in China. In contrast to common techniques, this model not only made the best recommendation scientifically and efficiently but could also provide accurate assessment data for decision makers in landfill construction and high-quality urban development.

Identification of Key Factors Influencing Consumer Purchase in Livestreaming Based on Principal Component Analysis and Combination Weighting

“…Consumer's purchasing decision under livestreaming is a multi-criteria decision making behavior, and the methods commonly used in MCDM include AHP (Analytic Hierarchy Process), DEMATEL (Decision Experiment And Evaluation Laboratory), ANP, TOPSIS, etc. Emovon et al [38] proposed the common practice in selection analysis is the combination of two or more MCDM methods, which can improve the accuracy of analysis results.On the application of the DEMATEL-ANP method, Liu, J. et al [39] chose the sites that meet the conditions of landfill sites through this method, Huang, Y. et al [40] DEMATEL -ANP method is used to identify the important factors affecting the development of smart cities, Bardhan, A. K. et al [41] used it to study the factors that improve the overall performance of microfinance institutions, Arthur J. Lin et al [42] analyzed the key factors that affect the operating performance of international shipping companies. Aiming at the defect of subjective error of expert scoring in traditional DEMATEL method, this paper introduces Fuzzy Set Theory and puts forward a method of influencing factors analysis based on Fuzzy-DEMATEL, which can reveal the strong and weak relationship between various factors and its influence mechanism.…”