A novel Q-Rung orthopair fuzzy distance metric for energy source selection

Abstract

The process of selecting a dependable energy source is essential because of the adverse effects of adopting an inefficient energy source. This research presents the notion of Q-Rung Orthopair Fuzzy Sets (Q-ROFSs) embedded with a distance metric to support the selection of an eco-friendly energy source, since the theory of Q-ROFSs is a reliable means for decision-making. An efficient Q-Rung Orthopair Fuzzy Distance Measure (Q-ROFDM) is constructed in this research. The novel Q-ROFDM is described to show superiority over the extant Q-ROFDMs. In addition, the novel distance technique is utilized in the selection of an efficient energy source alternative from among several energy source alternatives using assorted energy source selection criteria based on decision-making methods. Finally, to buttress the effectiveness of the novel Q-ROFDM, a comparative analysis is shown, presenting the strength and reliability of the new technique over the extant Q-ROFDMs. This efficient technique of energy source selection can be adopted in other uncertainty fields due to its effectiveness.