Feature: Include pre-built fuzzy logic modules for common AI tasks, such as: Fuzzy control systems (e.g., PID controllers). Fuzzy clustering (e.g., for unsupervised learning). Fuzzy decision trees (e.g., for classification tasks). Benefit: This would reduce the time required to implement fuzzy logic in AI projects and make the library more accessible to non-experts. Example: A pre-built fuzzy control system for optimizing HVAC systems in smart buildings.