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<p>Green wastewater treatment technologies can be quite challenging, as it involves considering economic, environmental, technical, social, and institutional aspects that might be uncertain. To help in such a situation, this work presents a sophisticated m- polar fuzzy MCDM framework for wastewater treatment options that span from Conventional Activated Sludge Process, Sequencing Batch Reactor, Membrane Bioreactor, Moving Bed Biofilm Reactor to Constructed Wetlands, Anaerobic and Biogas Recovery, Reverse Osmosis System, Decentralized Wastewater Treatment System, Integrated Resource Recovery System, and Zero Liquid Discharge Systems and crucial evaluation criteria were taken into consideration: Economic Viability, Environmental Sustainability, Water Reuse Performance, Resource Recovery Efficiency, Technical Feasibility, Energy Efficiency, Operational Flexibility and Scalability, Social Acceptance, Health and Safety Assurance, and Regulatory and Institutional Compatibility. The suggested framework combines m-polar fuzzy TOPSIS to rank alternatives and VIKOR to confirm the compromise, with a subsequent 20% weight, based sensitivity analysis to evaluate the model’s reliability. The findings show that the Integrated Resource Recovery System is always at the top of the list regardless of the setting, thereby excelling in circular economy and sustainability attributes. The sensitivity test verifies that the rankings are quite stable and reliable, whereas the comparative analysis shows that TOPSIS and VIKOR results are in high agreement. The results demonstrate the capability of the proposed m, polar fuzzy MCDM framework to serve as a trustworthy decision, support tool for sustainable wastewater management planning and policy, making under situations of uncertainty. The novelty of this study lies in integrating m-polar fuzzy information with a hybrid TOPSIS–VIKOR framework for the comprehensive evaluation of wastewater treatment technologies under circular economy principles, enabling robust decision-making in the presence of multidimensional uncertainty.</p>

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Multi–Criteria Assessment of Wastewater Treatment Technologies for Circular Economy Implementation Using an m–Polar Fuzzy Decision Model

  • 期刊论文

  • 发表日期：

    2026年7月10日

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  • D. Nagarajan,
  • Shyaman V P,
  • Zakiya Al Amri,
  • M. Dinesh Babu

摘要

Green wastewater treatment technologies can be quite challenging, as it involves considering economic, environmental, technical, social, and institutional aspects that might be uncertain. To help in such a situation, this work presents a sophisticated m- polar fuzzy MCDM framework for wastewater treatment options that span from Conventional Activated Sludge Process, Sequencing Batch Reactor, Membrane Bioreactor, Moving Bed Biofilm Reactor to Constructed Wetlands, Anaerobic and Biogas Recovery, Reverse Osmosis System, Decentralized Wastewater Treatment System, Integrated Resource Recovery System, and Zero Liquid Discharge Systems and crucial evaluation criteria were taken into consideration: Economic Viability, Environmental Sustainability, Water Reuse Performance, Resource Recovery Efficiency, Technical Feasibility, Energy Efficiency, Operational Flexibility and Scalability, Social Acceptance, Health and Safety Assurance, and Regulatory and Institutional Compatibility. The suggested framework combines m-polar fuzzy TOPSIS to rank alternatives and VIKOR to confirm the compromise, with a subsequent 20% weight, based sensitivity analysis to evaluate the model’s reliability. The findings show that the Integrated Resource Recovery System is always at the top of the list regardless of the setting, thereby excelling in circular economy and sustainability attributes. The sensitivity test verifies that the rankings are quite stable and reliable, whereas the comparative analysis shows that TOPSIS and VIKOR results are in high agreement. The results demonstrate the capability of the proposed m, polar fuzzy MCDM framework to serve as a trustworthy decision, support tool for sustainable wastewater management planning and policy, making under situations of uncertainty. The novelty of this study lies in integrating m-polar fuzzy information with a hybrid TOPSIS–VIKOR framework for the comprehensive evaluation of wastewater treatment technologies under circular economy principles, enabling robust decision-making in the presence of multidimensional uncertainty.