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- W2150797617 abstract "A linear matrix inequality approach to designing accurate classifier with a compact T–S(Takagi–Sugeno) fuzzy-rule is proposed, in which all the elements of the T–S fuzzy classifier design problem have been moved in parameters of a LMI optimization problem. Two-step procedure is used to effectively design the T–S fuzzy classifier with many tuning parameters: antecedent part and consequent part design. Then two LMI optimization problems are formulated in both parts and solved efficiently by using interior-point method. Iris data is used to evaluate the performance of the proposed approach. From the simulation results, the proposed approach showed superior performance over other approaches." @default.
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- W2150797617 date "2005-01-01" @default.
- W2150797617 modified "2023-10-17" @default.
- W2150797617 title "Design of T–S Fuzzy Classifier via Linear Matrix Inequality Approach" @default.
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- W2150797617 doi "https://doi.org/10.1007/11539506_53" @default.
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