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Listed companies play a crucial role in the development of China's economy. The accurate evaluation of the credit condition of Listed Companies in China is conducive to better management and healthy development. For this problem, first the samples were scored comprehensively by applying projection pursuit method, so ordered samples were obtained which ensured data comprehensive. Then Fisher optimal segmentation method was used to conduct the clustering analysis of ordered sample. Finally, the credit rating model of Listed Companies in china was obtained. A case study of financial statements of listed companies was also performed.

Study on credit rating model of China's listed companies based on the optimal segmentation method