Application of the organizational reflex while modeling the management of tourism flows in a sustainable organization

This Python code applies fuzzy logic to model and analyze the relationship between seasonality, tourist numbers, and infrastructure load. It defines qualitative categories for each variable and uses rule-based logic to simulate and predict infrastructure occupancy under different conditions. The model incorporates scenario analysis to evaluate the impact of peak seasons, off-seasons, and potential infrastructure improvements. Visualizations are generated to illustrate trends and correlations, supporting decision-making for sustainable tourism management.