Search

In this research, we introduce a significant advancement in decision-making methodologies by proposing the Combine Compromise Solution Approach. This innovative method addresses the complexities inherent in multi-criteria decision-making scenarios, particularly in optimizing logistics within the oil and gas supply chain. Through our exploration of circular spherical fuzzy sets, we investigate various algebraic operations without detailing the research methodology. Our primary contribution lies in the practical application and effectiveness of the Combine Compromise Solution Approach, exemplified through a case study on logistics optimization. By presenting insights gleaned from this approach and conducting a comparative analysis against alternative methods, we demonstrate its utility and potential impact in real-world contexts. This research not only offers immediate practical solutions but also paves the way for future investigations into the broader applications of circular spherical fuzzy sets in decision-making processes, thus advancing the field significantly.

The Circular Spherical Fuzzy Set (C-SFS) and Disc Spherical Fuzzy Set (D-SFS), an innovation of the well-known Spherical Fuzzy Set, are introduced in this research study. It is intended to improve the representation and processing of uncertainty in decision-making scenarios. The study establishes the C-SFS’s basic relations and operations, giving it a solid foundation for use in a variety of fields. An ELECTRE method utilising the C-SFS framework is suggested to properly quantify the decision-making process. This methodology combines circular spherical fuzzy concordant and discordant matrices, making it easier to evaluate performance thoroughly in terms of many different factors. The orderly structure of this strategy is demonstrated by a structured flow chart. Real-world applications of the C-SFS ELECTRE approach, particularly in the critical setting of kidney transplant selection, serve to demonstrate its effectiveness. A comparative section is included to demonstrate the suggested method’s accuracy.