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A hedge algebras based classification reasoning method with multi-granularity fuzzy partitioning

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During last years, lots of the fuzzy rule based classifier (FRBC) design methods have been proposed to improve the classification accuracy and the interpretability of the proposed classification models. In view of that trend, genetic design methods of linguistic terms along with their (triangular and trapezoidal) fuzzy sets based semantics for FRBCs, using hedge algebras as the mathematical formalism, have been proposed. | A hedge algebras based classification reasoning method with multi-granularity fuzzy partitioning

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