Application of Combination Forecasting Model in Aircraft Failure Rate Forecasting

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Forecasting model</td><td class="align_center">Pearson correlation coefficient</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">IOWA operator combination</td><td class="align_center">0.972</td></tr><tr><td class="align_left">GM (1, 1)</td><td class="align_center">0.686</td></tr><tr><td class="align_left">SVM</td><td class="align_center">0.823</td></tr><tr><td class="align_left">Entropy weight method combination</td><td class="align_center">0.908</td></tr><tr><td class="align_left">XGBoost</td><td class="align_center">0.932</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Pearson correlation coefficient.</div>

Computational Intelligence and Neuroscience

tab5

Table 5

Table 5: Application of Combination Forecasting Model in Aircraft Failure Rate Forecasting 