An Adaptive Neuro Fuzzy Inference System is a hybrid model that combines neural network learning with fuzzy logic reasoning. It typically uses fuzzy IF-THEN rules with trainable parameters to approximate nonlinear functions and support interpretable decision processes.
(Also adaptive network-based fuzzy inference system.) A kind of artificial neural network that is based on TakagiβSugeno fuzzy inference system. The technique was developed in the early 1990s. Since it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single framework. Its inference system corresponds to a set of fuzzy IFβTHEN rules that have learning capability to approximate nonlinear functions. Hence, ANFIS is considered to be a universal estimator. For using the ANFIS in a more efficient and optimal way, one can use the best p