Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Prediction model</td><td align="center">MAE</td><td align="center">MAPE</td><td align="center">RMSE</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">KNN</td><td align="center">5.4623</td><td align="center">0.0453</td><td align="center">3.5684</td></tr><tr><td align="left">ARIMA</td><td align="center">2.9642</td><td align="center">0.0401</td><td align="center">3.1812</td></tr><tr><td align="left">FTLPFFM</td><td align="center">1.9117</td><td align="center">0.0328</td><td align="center">2.7046</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The comparison between ARIMA, KNN, and FTLPFFM.

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model 