Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method

Abstract

Fuel cell electric vehicles (FCEVs) are a contemporary technology that is making headway in the expanding automotive industry. To promote FCEV effectiveness, environmentally acceptable limits need to be considered during their whole life cycle. End-of-life automotive fuel cells (AFCs) are one of the major contemporary challenges facing the sustainable business of transportation companies. The paper introduces a hybrid q-rung orthopair fuzzy (q-ROF)-based methodology to handle uncertainties and vagueness. It couples and extends the criteria importance through intercriteria correlation (CRITIC) and evaluation based on distance from average solution (EDAS) methods with q-ROF sets. This research aims to provide essential methodological and practical frameworks, as well as guidelines for improving the effectiveness of engaged FCEVs in transportation companies. The q-ROF CRITIC-EDAS methodology provides a systematic method for prioritizing sustainable approaches for smart waste management of AFCs of road freight vehicles. The incorporation of the real-life case study demonstrates its practical applicability and validity. The introduced q-ROF CRITIC-EDAS model could be extensively applied to the AFC waste management in order to assist stakeholders in making decisions consistent with the sustainability objectives.