ANFIS (Adaptive Neuro-Fuzzy Inference System)

ANFIS (Adaptive Neuro-Fuzzy Inference System) is a type of model that combines neural networks and fuzzy logic to learn and make decisions. It mimics how humans reason with vague or uncertain information (fuzzy logic) while also adapting through experience (neural networks). ANFIS can learn from data to create a system that predicts outcomes or classifies inputs effectively. Think of it as a smart tool that improves its understanding over time, using both flexible reasoning and pattern recognition, making it useful in tasks like control systems, forecasting, and pattern recognition.