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A Takagi-Sugeno-Kang (TSK) fuzzy-based decision feedback equalizer (DFE) applied to detecting a quadrature-amplitude-modulation (QAM) signal is presented. The structure of a TSK fuzzy system may produce many local minimum of involved cost functions for detecting received signals. An evolutionary algorithm is adopted for the proposed TSK fuzzy equalizer to overcome the difficulty for locating global minimum in weight space. Results showed that the performance of the newly designed equalizer is much improved for DFEs with multilayer perceptron or least mean square scheme.