Assessing the Adaptation of Internet of Things (IoT) Barriers for Smart Cities’ Waste Management Using Fermatean Fuzzy Combined Compromise Solution Approach

This study proposes a systematic methodology of the adoption Internet Things (IoT) barriers (IoTBs) that exist in waste management structures smart cities (SCs) growing economies likely India. A hybrid multi-attribute decision-making (MADM) is applied and has recognized 15 IoTBs from literature experts opinions obstructing IoT SCs The different are studied using similarity measure-based new weighting approach, combined compromise solution (CoCoSo) method. Considering Fermatean fuzzy sets (FFSs) can represent this uncertainty, paper framework for system solutions based on FFSs builds complete evaluation index system. Herein, we first combine Archimedean Copula operations term them as ‘generalized operations’ FFSs. Based these operations, develop generalized copula weighted averaging (FFGACWA) geometric (FFGACWG) operators. Then, construct decision algorithm FFWGAAC FFWGGAC Second, propose procedure measure to discuss significance degree IoTBs. Further, apply method selection cities’ (SCWM) assignments, prove effectiveness information complex environment. It cannot only consider uncertainty decision-makers (DMEs) when giving value but also synthesize relationship between any numbers criteria. Finally, superiority discussed by sensitivity analysis comparative study. results show effectively handle problems environments. will assist representatives, stakeholders government know importance affecting processes, it certainly help take judgments exterminating an effective employment SCWM assignments.