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Efficient representation of nonlinear functions by fuzzy controller design algorithms

This study investigates the efficient representation of nonlinear functions by data-driven algorithms for the design of fuzzy controllers. This is done by defining practical efficiency factors. Emphasis is placed on the comparison of the results given by a new algorithm for the design of Mamdani-type controllers with those obtained by neurofuzzy and other approaches.