Abstract: The statistical-fuzzy method and the fuzzy-statistical method for pattern recognition are developed in this paper on the bas's of the discussion on the generalities, differences and the respective suitable scopes of statistical approaches and fuzzy approaches to pattern recognition. The statistical-fuzzy method is to adopt in a fuzzy calssifier the membership functions which make full use of the statistical information of the pattern components, so that the performance of the calssifier is better than that of common fuzzy classifiers. The fuzzy-statistical method is to replace the pattern components by their fuzzy membership functions as inputs in a classifier which is based on the statistical method. From the results of the classification experiments made with the data sets given in this paper, it can be seen that the classification performance of this method can approach the optimal level of the Bayesian classifier with quite a small traiping ste.