Abstract
In the process of resolving financing difficulties of high-tech small and medium enterprises (SMEs) in China, the evaluation of credit risk of high-tech SMEs becomes a very challenging problem for the bank. This paper proposes a novel evaluation method based on cloud model to measure the credit risk of Chinese listed high-tech SMEs. Finally, an example is provided for illustrative purpose, and the indexes system of credit evaluation is established of 25 key factors, embedded within five broad categories: credit quality, organizational level, operation level, R&D level and network position. This research shows that it is a better way to use this method to realize transforming qualitative terms described in a natural language to distribution patterns of quantitative values, especially for high-tech SMEs.
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Acknowledgments
This work was partially supported by the National Natural Science Foundation of China (Grants No. 71172148) and Soft Science Research Projects of the Ministry of Housing and Urban-Rural Construction (Grants No. 2011-R3-18). The authors are also grateful to the referees for their helpful comments and valuable suggestions for improving the earlier version of the paper.
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Zhou, Gq., Wang, Xq., Liu, R., Sun, Lg. (2013). An Evaluation Method Based on Cloud Model for the Credit of High-Tech SMEs. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38391-5_151
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DOI: https://doi.org/10.1007/978-3-642-38391-5_151
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