Fuzzy Neural Networks

Fuzzy Neural Networks combine the reasoning of fuzzy logic with the learning ability of neural networks. Fuzzy logic handles uncertainty and vague information by using degrees of truth, rather than strict yes/no decisions. Neural networks are models that learn patterns from data. When integrated, fuzzy neural networks can model complex, uncertain situations more effectively, making them useful for tasks like decision-making, pattern recognition, and control systems. They adapt and improve through learning, providing flexible and interpretable solutions in environments where information is imprecise or incomplete.