Research Article
Study of Hybrid Neurofuzzy Inference System for Forecasting Flood Event Vulnerability in Indonesia
Table 9
MAE and RMSE of the Mamdani model, the Sugeno Model, and the proposed flood forecasting model (HN-FIS).
| Forecasting model | MAE (%) | RMSE (%) | 2008 | 2009 | 2010 | 2011 | 2012 | 2008 | 2009 | 2010 | 2011 | 2012 |
| Mamdani | 0.8496 | 1.5693 | 1.1420 | 4.0662 | 1.2714 | 0.0302 | 0.0628 | 0.0354 | 0.0154 | 0.0473 | Sugeno | 0.2425 | 1.0729 | 0.8213 | 4.0499 | 0.8307 | 0.7519 | 4.2681 | 1.5261 | 0.4739 | 2.7197 | HN-FIS | 0.3489 | 0.5825 | 0.7382 | 4.0950 | 0.5133 | 0.0126 | 0.0477 | 0.0548 | 0.0294 | 0.0410 |
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