Abstract
Due to most of current early-warning difficulties of enterprise crisis in feature extraction and degree classification, the paper presents a method based on entropy. Firstly, J-divergence entropy is applied to feature selection and feature extraction. Then the calculating result is classified to judge state of enterprise with the entropy clustering model. Finally, the results show the feasibility and validity of the model using data acquired from annual reports of A-stock market as samples.
| Original language | English |
|---|---|
| Pages (from-to) | 43-49 |
| Number of pages | 7 |
| Journal | Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice |
| Volume | 29 |
| Issue number | 4 |
| Publication status | Published - Apr 2009 |
| Externally published | Yes |
Keywords
- Crisis early-warning
- Entropy clustering
- Feature extraction