Credit Risk Assessment Modeling Method Based on Fuzzy Integral and SVM

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2022/3950210/figures/3950210.fig.009a.svgz" name="3950210.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>SVM parameter optimization contour graph</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2022/3950210/figures/3950210.fig.009b.svgz" name="3950210.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>SVM parameter optimization 3D graph</td></tr></table>

<div>SVM parameter selection result diagram.</div>

Mobile Information Systems

fig9

Figure 9

Figure 9: Credit Risk Assessment Modeling Method Based on Fuzzy Integral and SVM 