This study presents a novel direct-construction based fuzzy multiclass support vector classifier based on previous multi-class classification method by Crammer and Singer (2001). In our proposed method, the membership degree is computed by fuzzy c-means clustering, the optimal problem and its constraints of multiclass classification are reconstructed and its corresponding Lagrangian formula is re-deduced. Experimental comparison with the previous study indicates that our method can obtain better classification ratio.