Efficient Selection of Optimal Sewage Treatment Method for Industries Using Fuzzy TOPSIS and Fuzzy AHP

The management of wastewater from industrial processes is a substantial challenge when striving for sustainable industrial practices. The process of determining the most suitable method for treating wastewater in an industrial context necessitates a systematic and comprehensive approach due to the multifaceted nature of this decision-making endeavor. This research addresses the crucial challenge of selecting optimal sewage treatment methods for industrial applications. Employing a novel approach that integrates Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) and Analytic Hierarchy Process (AHP), our methodology systematically prioritizes criteria such as energy consumption, efficiency, cost, process duration, environmental impact, and reuse potential.This study not only contributes to sustainable industrial practices but also provides a practical decision support tool, empowering industries to make informed choices in wastewater management which safeguards public health by eliminating pollutants, preventing waterborne diseases, and ensures the ecological balance. Moreover, it fosters environmental sustainability through the reuse of treated water, conserving resources, and mitigating pollution impact.