Feature: Add seamless integration with popular machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
Benefit: This would allow fuzzy logic systems to be combined with neural networks or other ML models, enabling hybrid AI systems that leverage both data-driven learning and rule-based reasoning.
Example: A fuzzy logic layer could be added to a neural network to handle uncertainty in predictions or to interpret model outputs in a human-readable way.
Feature: Add seamless integration with popular machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
Benefit: This would allow fuzzy logic systems to be combined with neural networks or other ML models, enabling hybrid AI systems that leverage both data-driven learning and rule-based reasoning.
Example: A fuzzy logic layer could be added to a neural network to handle uncertainty in predictions or to interpret model outputs in a human-readable way.