q-ROF- SWARA- CoCoSo Approach for Optimal Spent LiB Recycling Technology Selection

The increasing production of electric vehicles necessitates the recycling of lithium ion batteries, which not only reduces mining and processing costs but also preserves crucial elements like cobalt, nickel, iron etc. Using the idea of multi-criteria group decision making (MCGDM), the present study strives to determine the optimal LiB recycling technology (LiBRT) under q-rung orthopair fuzzy environment (q-ROFE). The q-ROF weighted geometric operator (q-ROFWGO) has been used to combine the assessments of different decision makers (DMs). In order to determine the optimal LiBRT, the concepts of Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) have been expanded under q-ROFE with the help of q-ROFWGO. To verify the integrity and reliability of the integrated method, numerous sensitivity and comparative analyses have been performed.