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There are serious environmental and socioeconomic issues due to the explosive increase of electronic waste, especially in the ecologically fragile North-East region of India. Selecting optimal sites for recycling and up-cycling centres requires addressing multiple conflicting criteria under uncertainty. This study presents a novel Complex Linear Diophantine Fuzzy Set (CLDFS) based Multi-Criteria Group Decision-Making (MCGDM) framework that integrates Step-wise Weight Assessment Ratio Analysis (SWARA) for deriving criteria weights and Combinative Distance-based Assessment (CODAS) for ranking alternatives. CLDFS, a recent extension of fuzzy set theory, extends membership representation in the complex plane, effectively handling ambiguity, uncertainty, and hesitancy in expert evaluations. The analysis incorporates judgments from three experts, evaluating ten criteria across nine alternative sites. Results identify Agartala city of Tripura, NE India as the most suitable location. Comparative analysis confirms the strength and superiority of the projected methodology, providing a mathematically rigorous, versatile, and practical decision-support tool for sustainable e-waste management.

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Optimal Site Selection for E-Waste Recycling and Upcycling Centre: A Complex Linear Diophantine Fuzzy MCGDM Approach

  • 章节

  • 发表日期：

    2026年

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  • Dinanath Choudhary,
  • Sudipa Choudhury,
  • Apu Kumar Saha

摘要

There are serious environmental and socioeconomic issues due to the explosive increase of electronic waste, especially in the ecologically fragile North-East region of India. Selecting optimal sites for recycling and up-cycling centres requires addressing multiple conflicting criteria under uncertainty. This study presents a novel Complex Linear Diophantine Fuzzy Set (CLDFS) based Multi-Criteria Group Decision-Making (MCGDM) framework that integrates Step-wise Weight Assessment Ratio Analysis (SWARA) for deriving criteria weights and Combinative Distance-based Assessment (CODAS) for ranking alternatives. CLDFS, a recent extension of fuzzy set theory, extends membership representation in the complex plane, effectively handling ambiguity, uncertainty, and hesitancy in expert evaluations. The analysis incorporates judgments from three experts, evaluating ten criteria across nine alternative sites. Results identify Agartala city of Tripura, NE India as the most suitable location. Comparative analysis confirms the strength and superiority of the projected methodology, providing a mathematically rigorous, versatile, and practical decision-support tool for sustainable e-waste management.