Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty data and criterion weights efficacy results. In this study, coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed site in Lanzhou, semi-arid valley basin city China, enhance spatial decision-making Primarily, 21 were identified five groups through Delphi method at 30 m resolution, then obtained by DEMATEL ANP, optimal membership function determined for each evaluation criterion. Combined with GIS analysis clustering algorithm, candidate sites that satisfied landfill conditions identified, distribution characteristics analyzed. These subsequently ranked utilizing MOORA, WASPAS, COPRAS, TOPSIS verify reliability results conducting sensitivity analysis. This study different from previous research applied MCDM weighting more reliable compared other common methods.