A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm

@inproceedings{Guo2014ACC,
  title={A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm},
  author={Xuesong Guo and Zhengwei Zhu and Jia Shi},
  year={2014}
}
Corporate credit-rating prediction using statistical and artificial intelligence techniques has received considerable attentions in the literature. Different from the thoughts of various techniques for adopting support vector machines as binary classifiers originally, a new method, based on support vector domain combined with fuzzy clustering algorithm for multiclassification, is proposed in the paper to accomplish corporate credit rating. By data preprocessing using fuzzy clustering algorithm… CONTINUE READING
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Showing 1-10 of 49 references

A hybrid approach using case-based reasoning and fuzzy logic for corporate bond rating,

  • H. J. Kim, K. S. Shin
  • Journal of Intelligence and Information system,
  • 2010

Understanding credit ratings quality: evidence from UK debt market participants,

  • A. Duff, S. Einig
  • The British Accounting Review,
  • 2009

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