An Application of the Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection in a Fast-Food Restaurant Chain

A huge factor in the success of a franchise business is the optimal selection of franchisees to represent the brand to customers. The dynamism in market parameters predetermines the use of Atanasov’s concepts of intuitionistic fuzzy logic and index matrices as a modeling and problem-solving tool for optimal business franchisee selection. In our previous work [34], we have introduced an index matrix model for a temporal intuitionistic fuzzy algorithm for optimal franchise candidate selection under uncertainty (OTIFAFr) and a software program for its execution. In this paper, which is an extension of [34], we will further outline a practical framework for fast-food restaurant chains for the process of franchisee selection from a pool of potential candidates applying the OTIFAFr utility. An example of choosing a franchisee for the McDonald’s restaurant chain is considered in this work.