Research Article
A Novel Fuzzy Time Series Forecasting Model Based on Multiple Linear Regression and Time Series Clustering
Table 5
Comparison of
, , R, and
of different models.
| | A | | | R | |
| | Chen’s model [13] | 187.26 | 8.26 | 0.8839 | 0.7813 | | Huarng’s model [15] | 164.04 | 6.29 | 0.9110 | 0.8314 | | Pathak’s model [14] | 205.96 | 8.95 | 0.8685 | 0.7544 | | Kumar’s model [16] | 134.28 | 6.30 | 0.9446 | 0.8924 | | Bisht’s model [17] | 179.03 | 7.86 | 0.9001 | 0.8101 | | Abhishekh’s model [18] | 153.77 | 8.53 | 0.8442 | 0.7319 | | Kumar’s model [19] | 192.98 | 7.86 | 0.9001 | 0.8101 | | Proposed model | 105.62 | 5.78 | 0.8651 | 0.7542 |
|
|
