Research Article
Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN
Table 12
The comparison of the predictions of the proposed models.
| Game | Observed attendance rate | Predicted attendance rate (Elman NN–20 n.) | Predicted attendance rate (ANFIS–hybrid) | Predicted attendance rate (fuzzy logic) |
| Barcelona-Espanyol | 0.733 | 0.6821 | 0.7153 | 0.7076 | Barcelona-Malaga | 0.703 | 0.7168 | 0.7431 | 0.7076 | Barcelona-Sevilla | 0.695 | 0.7848 | 0.8172 | 0.7075 | Barcelona-Getafe | 0.746 | 0.6988 | 0.7029 | 0.7075 | Barcelona-Girona | 0.860 | 0.8128 | 0.8300 | 0.7073 | Milan-SPAL | 0.567 | 0.5135 | 0.4912 | 0.7076 | Milan-Roma | 0.771 | 0.8009 | 0.7612 | 0.9046 | Milan-Bologna | 0.494 | 0.4449 | 0.4381 | 0.5076 | Milan-Atalanta | 0.572 | 0.6561 | 0.7510 | 0.6255 | Milan-Crotone | 0.532 | 0.4239 | 0.4522 | 0.4545 | Milan-Lazio | 0.635 | 0.5958 | 0.5932 | 0.7075 | Milan-Sampdoria | 0.582 | 0.5436 | 0.4967 | 0.5821 | Inter-SPAL | 0.715 | 0.7636 | 0.7521 | 0.7076 | Inter-Genoa | 0.625 | 0.5511 | 0.5960 | 0.7076 | Inter-Milan | 0.979 | 0.9031 | 0.9718 | 0.7827 | Inter-Sampdoria | 0.680 | 0.6833 | 0.6102 | 0.7076 | Inter-Atalanta | 0.652 | 0.5774 | 0.6037 | 0.7075 | Inter-Chievo | 0.667 | 0.6260 | 0.6050 | 0.7072 | Inter-Udinese | 0.650 | 0.6261 | 0.6638 | 0.7076 | Inter-Lazio | 0.773 | 0.8248 | 0.8284 | 0.8226 | Inter-Roma | 0.713 | 0.8229 | 0.7902 | 0.8847 | Inter-Crotone | 0.585 | 0.5912 | 0.6445 | 0.6737 | Inter-Benevento | 0.589 | 0.5170 | 0.5989 | 0.6153 |
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