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This paper presents a hybrid model to develop case-based systems, where case-based reasoning (CBR) and artificial neural networks (ANN) are now combined with fuzzy sets. The associative ANN uses fuzzy sets to process continuous attributes as linguistic variables. The case-based module justifies the problem solved by ANN using a similarity function, which(More)
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