Synthesizing and Correcting Fuzzy Model Rules Via Series of Experiments

V.Ya. Pivkin (Russia)


fuzzy model, experimental data, identification, correction


A method of experimental data analysis is described that allows to identify in a class of fuzzy models a functional dependency between inputs and outputs which exists in experiment. The method is based on discretization and uses operation of construction of a fuzzy set on statistical data. A new procedure for performing updates on a model from additional data is proposed.

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