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

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="302624.fig.009a" src="https://static-preview.hindawi.com/articles/mpe/volume-2012/302624/figures/302624.fig.009a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Experiments based on korea data set</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="302624.fig.009b" src="https://static-preview.hindawi.com/articles/mpe/volume-2012/302624/figures/302624.fig.009b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Experiments based on china data set </td></tr></table></td></tr></table>

<table>Experiment results of training time on data sets.</table>

Mathematical Problems in Engineering

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Figure 9

Figure 9: A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm 