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

A. Savitha Mary; D. Sarukasan; C. Kayelvizhi; L. Jethruth Emelda Mary; F. Josephine Daisy; K. Pitchaimani

Authors

A. Savitha Mary SRM Institute of Science and Technology, Faculty of Science and Humanity, Department of Mathematics, Ramapuram, Chennai-89, Tamilnadu, India.
D. Sarukasan SRM Institute of Science and Technology, Faculty of Engineering and Technology, Department of Mechanical Engineering, Ramapuram, Chennai-89, Tamilnadu, India.
C. Kayelvizhi SRM Institute of Science and Technology, Faculty of Science and Humanity, Department of Mathematics, Ramapuram, Chennai-89, Tamilnadu, India.
L. Jethruth Emelda Mary PG and Research Department of mathematics, St. Joseph's College of Arts and Science, (Autonomous), Cuddalore-1
F. Josephine Daisy PG and Research Department of Mathematics, Jawahar Science College, Neyveli – 607802, Tamil Nadu, India.
K. Pitchaimani Department of Mathematics, Velammal College of Engineering and Technology (Autonomous), Viraganoor, Madurai -625 009.

Keywords:

Distance Measure, Normalized Hamming distance, Normalized Euclidean distance, Hausdroff distance.

Abstract

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 a comparative 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.