Author(s): Ziritt-Trejo, G., Moreno-Freites, Z., Acurero-Luzardo, M., & Jimenez-Paternina, L.
Computational intelligence framed in the discipline of fuzzy logic is currently a highly used tool for complex decisions in the field of business, however, little used as an instrument for public policy formulation in the agri-food sector, specifically in the FoodService ecosystem, which represents a novelty. The objective of this study is to estimate the competitiveness of the FoodService market in the Department of Sucre, Colombia. From this analysis perspective, this method allowed to address the gap that exists between the use of traditional economic analysis strategies and the technological contributions of diffuse control characterized by imprecision; benefiting the practical reality of management in the ecosystem. The results of the model suggested a 30-degree output that translates into a basic level of competitiveness; important information that can be used by decision makers, on the one hand, for sector optimization in terms of competitiveness and, on the other hand, an opportunity for the adequate elaboration of policies and projects that generate and promote a sustainable development of the FoodService ecosystem in the region.