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.

GameObserved attendance ratePredicted attendance rate (Elman NN–20 n.)Predicted attendance rate (ANFIS–hybrid)Predicted attendance rate (fuzzy logic)

Barcelona-Espanyol0.7330.68210.71530.7076
Barcelona-Malaga0.7030.71680.74310.7076
Barcelona-Sevilla0.6950.78480.81720.7075
Barcelona-Getafe0.7460.69880.70290.7075
Barcelona-Girona0.8600.81280.83000.7073
Milan-SPAL0.5670.51350.49120.7076
Milan-Roma0.7710.80090.76120.9046
Milan-Bologna0.4940.44490.43810.5076
Milan-Atalanta0.5720.65610.75100.6255
Milan-Crotone0.5320.42390.45220.4545
Milan-Lazio0.6350.59580.59320.7075
Milan-Sampdoria0.5820.54360.49670.5821
Inter-SPAL0.7150.76360.75210.7076
Inter-Genoa0.6250.55110.59600.7076
Inter-Milan0.9790.90310.97180.7827
Inter-Sampdoria0.6800.68330.61020.7076
Inter-Atalanta0.6520.57740.60370.7075
Inter-Chievo0.6670.62600.60500.7072
Inter-Udinese0.6500.62610.66380.7076
Inter-Lazio0.7730.82480.82840.8226
Inter-Roma0.7130.82290.79020.8847
Inter-Crotone0.5850.59120.64450.6737
Inter-Benevento0.5890.51700.59890.6153