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This paper describes a design optimization based on the fuzzy-based Taguchi method coupled with finite element analysis (FEA). The proposed approach takes advantage of both the Taguchi method and a fuzzy rule based inference system, which forms a robust and practical methodology in tackling multiobjective optimization problems. The proposed methodology is applied to the optimization design of a surface-mounted permanent magnet (SPM) motor. The experimental results confirm the validity of the proposed method.