Sustainable Supply Chain of Aviation Fuel Based on Analytical Hierarchy Process (AHP) Under Uncertainty of q-ROFSs

Abstract

Nowadays, sustainable supply chain (SSC) selection of aviation fuels is one of the hot topics around world aviation industries. Existing of diverse intuitive and interrelated criteria that should be considered during the decision-making process turned it into one of the complex decision-making problems. Also, there exists tremendous uncertainty around all parameters and alternatives in the problem. The q-Rung Orthopair Fuzzy Sets (q-ROFSs), which is a generalization of Intuitionistic Fuzzy Sets (IFSs), provide a more proper space for decision-makers. q-ROFSs capable of expressing uncertain information with more flexibility. In this article it is tried to show the reliability of applying the analytical hierarchy process (AHP) in q-ROFSs environment for SSC of aviation fuel. First, properties of q-ROFSs are evaluated then the AHP method is discussed in detail based on q-ROFSs. Afterward, by considering the hardness of the SSC in aviation fuel problem, it is proposed a MAGDM method based on AHP in q-ROFSs environment. Finally, an application of AHP based on q-ROFSs to solve the SSC of the aviation fuel problem is presented to test the effectiveness of the proposed method.