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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