The rapid increase in electronic waste (e-waste) poses significant environmental and public health challenges, particularly in urban areas of developing countries like Agartala, India. This chapter presents a case study on e-waste management (EWM) in Agartala, employing a fuzzy multicriteria decision-making (FMCDM) model to evaluate and identify the most sustainable EWM strategy. The study focuses on three key criteria—environmental impact, cost of infrastructure, and public acceptance—and compares three alternatives: formal recycling facilities, informal sector involvement, and public-private partnerships (PPP). We apply fuzzified evaluations to handle uncertainties and apply weighting factors to prioritize each criterion. Results indicate that a public-private partnership provides the most balanced approach to reducing environmental risks and addressing the economic and social factors influencing public participation. Our findings suggest fuzzy decision-making models’ capability to provide a basis for a comprehensive and sustainable EWM strategy coherent with urban EWM for environmental sustainability and circular economy objectives.

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Integrating Circular Economy Principles with Fuzzy Multi-criteria Decision-Making for Sustainable E-Waste Management: A Theoretical Framework

  • Nandini Gupta,
  • Ajoy Kanti Das,
  • Suman Patra,
  • Suman Das,
  • Rakhal Das,
  • Anjan Mukherjee,
  • Abhijit Bhattacharya

摘要

The rapid increase in electronic waste (e-waste) poses significant environmental and public health challenges, particularly in urban areas of developing countries like Agartala, India. This chapter presents a case study on e-waste management (EWM) in Agartala, employing a fuzzy multicriteria decision-making (FMCDM) model to evaluate and identify the most sustainable EWM strategy. The study focuses on three key criteria—environmental impact, cost of infrastructure, and public acceptance—and compares three alternatives: formal recycling facilities, informal sector involvement, and public-private partnerships (PPP). We apply fuzzified evaluations to handle uncertainties and apply weighting factors to prioritize each criterion. Results indicate that a public-private partnership provides the most balanced approach to reducing environmental risks and addressing the economic and social factors influencing public participation. Our findings suggest fuzzy decision-making models’ capability to provide a basis for a comprehensive and sustainable EWM strategy coherent with urban EWM for environmental sustainability and circular economy objectives.