Research Article

High-Order Fuzzy Time Series Model Based on Generalized Fuzzy Logical Relationship

Table 5

Comparison of forecasting SSECI.

Model

RMSE 22.74 21.64 21.21 20.92 20.86 20.71 20.66 20.66 20.2520.10
18.32 19.04 17.90 17.92 17.69 17.56 17.54 17.55 16.9516.88
18.37 18.06 17.89 17.93 17.67 17.54 17.56 17.5616.9816.83
18.3718.06 17.89 17.93 17.67 17.5417.5617.56 16.9816.83
18.37 18.06 17.89 17.93 17.6717.54 17.56 17.56 16.9816.83
[28] 18.41 18.41 19.42 19.43 19.51 19.39 20.05 19.71 20.0020.26
[29] 21.07 21.02 20.87 20.73 20.08 19.88 19.79 19.69 18.1818.21
[31] 17.56 17.56 17.8117.7818.38 18.31 18.67 19.25 19.4719.60

MAE 18.61 17.10 16.61 16.12 16.09 16.08 16.07 16.11 15.7515.50
14.08 13.89 13.88 13.91 13.73 13.53 13.45 13.46 13.1613.17
14.1713.87 13.81 13.85 13.67 13.45 13.4613.4513.1313.06
14.17 13.87 13.81 13.85 13.67 13.45 13.46 13.45 13.1313.06
14.17 13.87 13.81 13.85 13.67 13.4513.4613.4513.1313.06
[28] 13.92 13.92 14.78 15.02 15.22 15.1815.41 15.38 15.6215.90
[29] 17.31 17.26 17.15 17.04 16.77 16.63 16.56 16.47 16.0416.07
[31] 12.81 12.81 13.29 13.06 13.5713.3814.19 14.37 14.4215.51

MAPE 0.0127 0.0117 0.0113 0.0110 0.0110 0.0110 0.0109 0.0110 0.01070.0105
0.0096 0.0095 0.00950.0095 0.0094 0.0092 0.00920.0092 0.00900.0090
0.0097 0.0095 0.0094 0.0094 0.0093 0.0092 0.00920.00910.00890.0089
0.00970.0095 0.0094 0.0094 0.0093 0.0092 0.00920.00910.00890.0089
0.0097 0.0095 0.0094 0.0094 0.0093 0.0092 0.00920.00910.00890.0089
[28] 0.0095 0.0095 0.0101 0.0102 0.0104 0.0103 0.0105 0.0105 0.01060.0108
[29] 0.0118 0.0118 0.0117 0.0116 0.0114 0.0113 0.0113 0.0112 0.01090.0109
[31] 0.0087 0.00870.0091 0.00890.0092 0.00910.0097 0.0098 0.00980.0099

The bold data means the minimum error of the models with the same order.