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Mathematical Problems in Engineering
Volume 2014, Article ID 538594, 12 pages
http://dx.doi.org/10.1155/2014/538594
Research Article

Combination of Biorthogonal Wavelet Hybrid Kernel OCSVM with Feature Weighted Approach Based on EVA and GRA in Financial Distress Prediction

Department of Management Science and Engineering, School of Economics and Management, Southeast University, Jiangsu, Nanjing 210096, China

Received 16 June 2014; Accepted 15 September 2014; Published 29 September 2014

Academic Editor: Wei-Chiang Hong

Copyright © 2014 Chao Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Chao Huang, Fei Gao, and Hongyan Jiang, “Combination of Biorthogonal Wavelet Hybrid Kernel OCSVM with Feature Weighted Approach Based on EVA and GRA in Financial Distress Prediction,” Mathematical Problems in Engineering, vol. 2014, Article ID 538594, 12 pages, 2014. https://doi.org/10.1155/2014/538594.