Digital transformation has been regarded as a primary styrategy to promote transitions in
diverse fields, but industry pioneers believe that the existing barriers may hamper the speed …

New energy systems (NESs) in a circular economy (CE) perspective may contribute
significantly to achieving emerging economies' carbon peaking and neutrality goals …

Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …

The prevalence of adverse drug reactions (ADRs) associated with medications has emerged
as a pressing global concern, impacting patients worldwide. Addressing the mitigation and …

Global warming is a prevalent issue across the world. In supply chains, warehouses
contribute significantly to the increase in greenhouse gas emissions. Achieving carbon …

The requirement for renewable energy sources arises from the depletion of fossil fuels and
the increasing energy demand. A case study in India has been conducted in this context to …

Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …

The q-rung orthopair fuzzy (q-ROF) set is an efficient tool for dealing with uncertain and
inaccurate data in real-world multi-attribute decision-making (MADM). In MADM …

Failure mode and effect analysis (FMEA) is a reliability analysis and risk management
technique used to analyze the potential causes of system failure modes and their impact on …

The sustainable waste valorization process selection is a complex process in real life
scenarios. In this study, a comprehensive evaluation of biological and thermal valorization …