A Fermatean Fuzzy ORESTE Method for Evaluating the Resilience of the Food Supply Chain

Abstract

To study the resilience and driving factors of key players in the food supply chain, this paper applies a decision model based on the Fermatean fuzzy set and improved ORESTE method. First, based on existing research on food supply chain resilience, the risk influencing factors affecting food supply chain resilience are established through a literature review. Second, Fermatean fuzzy sets are used to express and integrate uncertain information, calculate the membership and non-membership degrees of the factors affecting the resilience risk of the food supply chain, and then compute the score function to obtain the weight of the influencing factors and the risk weight of alternatives. Finally, the improved ORESTE method is used to rank key players, thereby identifying those in the food supply chain that affect resilience. The results show that transportation and logistics failures, government regulation, and diseases are the three most important risk factors with the highest weight coefficients, while water system failure is the least important risk factor. Among the key players, farmers and food processors are considered the most vulnerable in the food supply chain, while the most resilient are supermarkets and food wholesalers.