An Application of Site Selection for Solid Waste Management System Using Neutrosophic Set

Solid waste generation is an inevitable consequence of human activities, arising from domestic, mineral extraction, commercial, agricultural, and industrial. The improper disposal of solid waste leads to severe environmental and public health hazards, including air and water pollution, soil contamination, and disease outbreaks. Therefore, establishing an efficient solid waste management system (SWMS) is essential to mitigate these adverse effects and promote environmental sustainability. This study aims to determine the most suitable waste management strategies for different sites by analysing four key factors: Air Quality Index (AQI), population density, economic feasibility, and groundwater conditions. These factors significantly influence waste collection, processing, and disposal methods. To improve the efficiency and accuracy of waste management site selection, novel computational algorithms have been developed using a proposed distance formula. The performance of these algorithms is assessed through acomparative analysis with traditional distance measurement techniques, namely Hamming distance and Euclidean distance. The findings of this research provide data-driven insights into optimizing solid waste management for four selected districts in Tamil Nadu. By integrating computational methods with environmental and demographic parameters, the study contributes to improved urban planning, pollution reduction, and enhanced public health standards. The proposed approach serves as a valuable tool for policymakers and environmental agencies in implementing sustainable and efficient waste management practices