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This paper proposes a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on GA-based weights-learning techniques. It can deal with fuzzy rule interpolation with weighted antecedent variables appearing in the antecedents of fuzzy rules. We also propose a GA-based weights-learning algorithm to automatically learn the optimal weights of the antecedent variables of...
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