Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher

Anam Luqman1, Gulfam Shahzadi2

  • 1Division of Science and Technology, Department of Mathematics, University of Education, Lahore, Pakistan.

Granular Computing
|April 16, 2024
PubMed
Summary

Selecting optimal waste electrical and electronics equipment (WEEE) recycling partners is crucial for environmental sustainability. This study introduces novel multi-attribute decision-making (MADM) techniques using interval-valued Fermatean fuzzy information to improve WEEE recycler selection.

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