Method for fuzzy rules extraction from numerical data
L. Mikhailov, A. Nabout, Anna Kostadinova Lekova, Fabian Fischer, H.A. Nour Eldin · 2002
A method for extraction of fuzzy rules from numerical input-output data is proposed. The main idea consists in separation of the input space into activation rectangles, corresponding to different output intervals. The generation of fuzzy rules and membership functions is based on these activation rectangles, whereas an appropriate fuzzy rules inference mechanism is proposed. The method formalises the synthesis of the fuzzy system and could be used for function approximation, classification and control purposes. An illustrative example for implementation of the method for synthesis of traffic fuzzy control is given.