Search for: [Abstract = "This new method can be called \[epsilon\]\-insensitive learning, where, in order to fit the fuzzy model to real data, the \[epsilon\]\-insensitive loss function is used. \[epsilon\]\-insensitive learning leads to a model with minimal Vapnik\-Chervonenkis dimension, which results in an improved generalization ability of this system. Another advantage of the proposed method is its robustness against outliers."]

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