A Query-Based Evaluation of Green Batteries using Variance, CRITIC, and CoCoSo in a Hyperbolic Fuzzy Environment

This paper presents a novel framework for prioritization of green batteries by considering sustainability criteria encompassing socio-economic-environmental-technical aspects. Previous studies on green batteries bring out two questions — what is the importance of sustainable criteria in ranking green batteries and what is the priority of green batteries based on user demand. Since the answers to these questions are subtle, we gain motivation and present an integrated hyperbolic fuzzy based decision framework that methodically calculates experts weights, criteria weights, and customized ranks of batteries. Sustainable criteria considered in this paper are obtained from literature and expert advice as energy density, lifespan/cycle stability, efficiency, chargedischarge rate, availability, recyclability, scalability, temperature sensitivity, cost, and environmental impact of materials. Qualitative rating is interpreted as hyperbolic fuzzy value, followed by variance method is applied for determining experts weights, weighted CRITIC is presented for criteria weights, and query-based rank algorithm is put forward for customized ranking of batteries. Requirement from stakeholders in terms of criteria set is obtained and it is embedded in the CoCoSo formulation for gaining customized ranks. Practicality is demonstrated by considering a case example along with scenario-based query gathering from stakeholders that led following inferences viz., charge/discharge rate and lifespan being top two criteria with Lithium Iron Phosphate and Nickel Metal Hydride batteries being top two batteries. Finally, the pros and cons of the developed framework is presented for aiding policymakers choices.