Adaptive fuzzy systems

Adaptive fuzzy systems are intelligent models that mimic human decision-making using fuzzy logic, which handles uncertainty and vague information. They can learn and improve their performance over time by adjusting their rules based on new data. This adaptability allows them to approximate complex, real-world behaviors—like controlling a robot or predicting financial trends—more accurately. Essentially, these systems combine fuzzy reasoning with learning capabilities, enabling them to work effectively in situations where precise data is scarce or unpredictable.