Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

The outbreak of the COVID-19 pandemic has impacted development global economy. As most developing and third world countries are heavily dependent on agriculture agricultural imports, supply chains (ASC) in all these exposed to unprecedented risks following COVID-19. Therefore, it is vital investigate impact create resilient ASC organizations. In this study, critical associated with were assessed using a novel Analytical Hierarchy Process based spherical fuzzy sets (SF-AHP). findings indicated that depending scope scale organization, risks, demand financial logistics infrastructure management operational policy regulatory biological environmental have significant ASC. This research highlighted criterion specified as Transportation (TP), followed by Market (MA) Policy (PO), respectively. Meanwhile, Technology (TL) least criterion. study’s can help managers holistic view chain risk mitigation. Furthermore, study may assist sharing information about processing products from top bottom manage chain.