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In this paper, we describe a method to derive prediction intervals for neuro-fuzzy networks used as predictive systems. The method also enables the definition of prediction intervals for the fuzzy rules that constitute the rule base of the neuro-fuzzy network, resulting in a more readable and robust knowledge base. Moreover, the method does not depend on a specific architecture and can be applied...
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