Through reviewing the research by domestic scholars in bankruptcy prediction modeling, this paper gives a new bankruptcy prediction model based on fuzzy clustering and fuzzy pattern recognition. The model is designed to be used in fuzzy clustering of the training samples, optimal clustering core calculation and fuzzy pattern recognition for the sample classification. An empirical study on 40 listed companies in Shanghai Stock Market validates the model. Finally, the problems and future research directions of the model are discussed.