Neuro-fuzzy systems

Neuro-fuzzy systems combine neural networks and fuzzy logic to create a flexible decision-making tool. Neural networks learn from data by recognizing patterns, while fuzzy logic handles uncertainty and approximate information, mimicking human reasoning. Together, they enable systems to adapt and make decisions in complex, real-world situations where information isn't always precise. This hybrid approach enhances the ability of machines to understand, analyze, and respond to nuanced problems in fields like control systems, diagnostics, and pattern recognition.