Research Article
Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN
Table 5
The observed and predicted attendance rates of the proposed fuzzy logic model.
| Number | Game | Observed attendance rate | Predicted attendance rate | Difference |
| 1 | Barcelona-Espanyol | 0.733 | 0.7076 | 0.026 | 2 | Barcelona-Malaga | 0.703 | 0.7076 | −0.004 | 3 | Barcelona-Sevilla | 0.695 | 0.7075 | −0.012 | 4 | Barcelona-Getafe | 0.746 | 0.7075 | 0.038 | 5 | Barcelona-Girona | 0.860 | 0.7073 | 0.152 | 6 | Milan-SPAL | 0.567 | 0.7076 | −0.141 | 7 | Milan-Roma | 0.771 | 0.9046 | −0.134 | 8 | Milan-Bologna | 0.494 | 0.5076 | −0.014 | 9 | Milan-Atalanta | 0.572 | 0.6255 | −0.054 | 10 | Milan-Crotone | 0.532 | 0.4545 | 0.077 | 11 | Milan-Lazio | 0.635 | 0.7075 | −0.072 | 12 | Milan-Sampdoria | 0.582 | 0.5821 | 0.000 | 13 | Inter-SPAL | 0.715 | 0.7076 | 0.008 | 14 | Inter-Genoa | 0.625 | 0.7076 | −0.082 | 15 | Inter-Milan | 0.979 | 0.7827 | 0.196 | 16 | Inter-Sampdoria | 0.680 | 0.7076 | −0.027 | 17 | Inter-Atalanta | 0.652 | 0.7075 | −0.055 | 18 | Inter-Chievo | 0.667 | 0.7072 | −0.040 | 19 | Inter-Udinese | 0.650 | 0.7076 | −0.058 | 20 | Inter-Lazio | 0.773 | 0.8226 | −0.050 | 21 | Inter-Roma | 0.713 | 0.8847 | −0.172 | 22 | Inter-Crotone | 0.585 | 0.6737 | −0.089 | 23 | Inter-Benevento | 0.589 | 0.6153 | −0.026 |
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