Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-rung orthopair fuzzy sets

Abstract

Fleet operators periodically update and improve their vehicles in order to take opportunity of new technologies. Alternative-fuel vehicles give opportunities to lower fuel costs as well as to reduce environmental footprint. To select an appropriate alternative-fuel vehicle, it is a significant concern for fleet operations. Now, the assessment of fuel technology selection can be considered as multi-criteria decision making problem due to involvement of several conflicting criteria. The objective of this study is to propose novel decision-making framework-based on the operators of q-rung orthopair fuzzy sets (q-ROFSs), traditional weighted aggregated sum product assessment approach, score function and similarity measure to solve the alternative-fuel technology selection problem within q-ROFSs context, wherein the decision experts and criteria weights are completely unknown. In this approach, a new procedure is developed based on similarity measure and improved score function for evaluating the criteria weights. For this, a new similarity measure and generalized improved score function for q-ROFSs are introduced and shown the comparison with existing ones. Next, to elucidate the efficiency and feasibility of the discussed framework, an empirical study of alternative-fuel technology selection problem is presented. In addition, this study performs sensitivity analysis with respect to various set of criteria weights to reveal the strength of the introduced framework. Finally, a comparison is discussed to analyze the validity of the obtained results. The final results confirm that the developed framework is more efficient and well consistent with previously developed methods under q-ROFSs.