Research Article

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

Table 4

Comparison of forecasting enrollment.

Model

RMSE 625632643 641658575562289 203191
447449460 436 448456 437413391284
447449460 436448456 406382 365 225
447449460 434445 453423415 397253
447449460 434 445453 423415 397253
[28]588588578 608602620 632 575554498
[29]292298294 299307313323320321311
[31]543543522 420456 443452 463480 498

MAE 473471501 484501366411 212326140
372375390 365383394406364292218
372375390 365383393374336333 176
372375390 367384393402386333195
372375390 367384393402386333195
[28]494494473 526 527 556582506483424
[29]252262256 259 272277 289284282271
[31]441441412 316347337340 346368390

MAPE 0.02930.02910.0307 0.0294 0.0305 0.0221 0.0246 0.01270.0103 0.0087
0.02270.02270.0236 0.0216 0.0227 0.0232 0.0239 0.0216 0.0195 0.0125
0.02270.02270.0236 0.0216 0.02270.0232 0.0220 0.0200 0.0176 0.0101
0.02270.02270.0236 0.0217 0.02270.0231 0.0236 0.0228 0.0198 0.0111
0.02270.02270.0236 0.0217 0.0227 0.0231 0.0236 0.0228 0.0198 0.0111
[28]0.02990.02990.0283 0.0317 0.0313 0.0329 0.0345 0.0299 0.0285 0.0253
[29]0.01530.01590.0153 0.0154 0.0162 0.01640.01700.0166 0.0165 0.0158
[31]0.02680.02680.0248 0.0188 0.0203 0.0195 0.0196 0.0198 0.0211 0.0223

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