Research Article
A Novel Fuzzy Time Series Forecasting Model Based on Multiple Linear Regression and Time Series Clustering
Table 3
Comparison of RMSEs and average RMSEs for different FTS methods for forecasting the TAIEX from 1999 to 2004.
| Models | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | Average |
| Chen’s model [4] | | | | | | | | Use NASDAQ | 123.64 | 131.10 | 115.08 | 73.06 | 66.36 | 60.48 | 94.95 | Use Dow Jones | 101.97 | 148.85 | 113.70 | 79.81 | 64.08 | 82.32 | 98.46 | Use M1B | 156.92 | 142.70 | 132.76 | 96.06 | 90.27 | 100.10 | 119.80 | Use Dow Jones and NASDAQ | 106.34 | 130.13 | 113.33 | 72.33 | 60.29 | 68.07 | 91.75 | Use NASDAQ and M1B | 116.22 | 134.63 | 116.59 | 76.48 | 53.51 | 69.29 | 94.45 | Use NASDAQ and Dow Jones and M1B | 111.7 | 129.42 | 113.67 | 66.82 | 56.1 | 64.76 | 90.41 | Chen’s model [6] | | | | | | | | Use Dow Jones | 115.47 | 127.51 | 121.98 | 74.65 | 66.02 | 58.89 | 94.09 | Use NASDAQ | 119.32 | 129.87 | 123.12 | 71.01 | 65.14 | 61.94 | 95.07 | Use M1B | 120.01 | 129.87 | 117.61 | 85.85 | 63.10 | 67.29 | 97.29 | Use Dow Jones and NASDAQ | 116.64 | 123.62 | 123.85 | 71.98 | 58.06 | 57.73 | 91.98 | Use Dow Jones and M1B | 116.59 | 127.71 | 115.33 | 77.96 | 60.32 | 65.86 | 93.96 | Use NASDAQ and M1B | 114.87 | 128.37 | 123.15 | 74.05 | 67.83 | 65.09 | 95.58 | Use NASDAQ and Dow Jones and M1B | 112.47 | 131.04 | 117.86 | 77.38 | 60.65 | 65.09 | 94.08 | Chen’s model [3] | | | | | | | | Use NASDAQ | 123.64 | 131.10 | 115.08 | 73.06 | 66.36 | 60.48 | 94.95 | Use Dow Jones | 101.97 | 148.85 | 113.70 | 79.81 | 64.08 | 82.32 | 98.46 | Use M1B | 156.92 | 142.70 | 132.76 | 96.06 | 90.27 | 100.10 | 119.80 | Use Dow Jones and NASDAQ | 106.34 | 130.13 | 113.33 | 72.33 | 60.29 | 68.07 | 91.75 | Use NASDAQ and M1B | 116.22 | 134.63 | 116.59 | 76.48 | 53.51 | 69.29 | 94.45 | Use NASDAQ and Dow Jones and M1B | 111.70 | 129.42 | 113.67 | 66.82 | 56.10 | 64.76 | 90.41 | Chen’s model [10] | | | | | | | | Use Dow Jones | 102.34 | 131.25 | 113.62 | 65.77 | 52.23 | 56.16 | 86.89 | Use NASDAQ | 102.11 | 131.30 | 113.83 | 66.45 | 52.83 | 54.17 | 86.78 | Use M1B | 103.52 | 131.36 | 112.55 | 66.23 | 53.20 | 55.36 | 87.04 | Chen’s model [7] | | | | | | | | Use Dow Jones | 103.90 | 127.32 | 115.37 | 64.71 | 52.84 | 53.36 | 86.25 | Use NASDAQ | 104.99 | 124.52 | 114.66 | 64.79 | 53.63 | 52.96 | 85.93 | Use M1B | 105.61 | 127.37 | 115.46 | 66.07 | 53.67 | 53.30 | 86.91 | Chen’s model [8] | | | | | | | | Use TAIFEX | 100.83 | 122.20 | 120.30 | 72.23 | 56.89 | 55.40 | 87.98 | Use Dow Jones | 99.87 | 122.75 | 117.18 | 68.45 | 53.96 | 52.55 | 85.79 | Use NASDAQ | 102.60 | 119.98 | 114.81 | 69.07 | 53.16 | 53.57 | 85.53 | Use M1B | 101.22 | 123.99 | 117.75 | 70.63 | 54.92 | 55.29 | 87.30 | Use Dow Jones and NASDAQ | 101.33 | 121.27 | 114.48 | 67.18 | 52.72 | 52.27 | 84.88 | Use Dow Jones and M1B | 100.59 | 124.10 | 116.28 | 68.11 | 53.50 | 53.33 | 85.99 | Use NASDAQ and M1B | 102.25 | 122.47 | 115.02 | 68.51 | 52.82 | 53.99 | 85.84 | Use NASDAQ and Dow Jones and M1B | 101.47 | 122.88 | 114.47 | 67.17 | 52.49 | 52.84 | 85.22 | Cai’s model [11] | 102.22 | 131.53 | 112.59 | 60.33 | 51.54 | 50.33 | 84.75 | Cheng’s model [12] | 100.74 | 125.62 | 113.04 | 62.94 | 51.46 | 54.25 | 84.68 | Yolca’s model [38] | | 113.38 | 110.89 | 58.68 | 50.07 | 51.60 | 76.92 | Vovan’s model [32] | 73.07 | 85.28 | 78.74 | 52.21 | 77.05 | 39.78 | 67.69 | The proposed model | 40.91 | 46.68 | 41.16 | 30.21 | 28.13 | 31.34 | 36.40 |
|
|