Spherical Fuzzy Linear Assignment with Objective Weighting Concept in the Sustainable Supply Chain of Aviation Fuel

Abstract

AbstractThis manuscript aims to combine two concepts of spherical fuzzy sets and linear assignment with objective weighting. So, the novel concept of spherical fuzzy linear assignment with spherical fuzzy weighting method is introduced. An objective weighting method based on spherical fuzzy entropy is applied to evaluate weights of decision-makers and criteria; then spherical fuzzy aggregation operators are implemented for the aggregation step. Afterward, the novel spherical fuzzy linear assignment (SF-LAM) is applied to solve multiple attribute group decision-making (MAGDM) problems. A MAGDM method in SFSs based on spherical fuzzy entropy weighting and SF-LAM is proposed in this manuscript. Sustainable supply chain (SSC) selection of aviation fuels is one of the significant fields of study among all aviation supply chain problems because of many intuitive criteria that have to be considered through the decision-making procedure. Constructing such a comprehensive model for the aviation fuel supply chain is still out of sight, even though significant researches have been done in this field. Another hardness of SSC in the aviation fuel is the satisfaction of all criteria based on such a complicated model. In this chapter, a spherical fuzzy structure is defined for the SSC management of aviation fuels. To show the feasibility and applicability of the proposed MAGDM method is applied to solve the SSC of the aviation fuel problem and results are discussed in detail.KeywordsSpherical fuzzy structureSpherical fuzzy linear assignmentSF-LAMSustainable supply chain of aviation fuelMAGDM model in SF Structure