Research Article
δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions
Table 8
The comparison between decision-monotonicity criterion based reducts and cost based reducts (Soybean).
| | Approximation qualities | Run times (s) | Algorithm 1 | Algorithm 2 | Algorithm 1 | Algorithm 2 |
| 0.1 | 0.9632 ± 0.0669 | 0.9013 ± 0.0584 | 6.976 ± 3.1845 | 22.13 ± 4.443 | 0.2 | 0.9287 ± 0.0990 | 0.9459 ± 0.0691 | 7.672 ± 2.3621 | 23.36 ± 3.463 | 0.3 | 0.9195 ± 0.0460 | 0.9492 ± 0.0578 | 7.638 ± 1.7622 | 27.05 ± 6.543 | 0.4 | 0.8879 ± 0.0402 | 0.9866 ± 0.0129 | 7.247 ± 2.2257 | 28.93 ± 5.668 | 0.5 | 0.9420 ± 0.0510 | 0.9948 ± 0.0054 | 2.217 ± 0.9900 | 31.09 ± 8.096 | 0.6 | 0.9951 ± 0.0052 | 0.9896 ± 0.0103 | 7.869 ± 0.1669 | 33.91 ± 9.279 | 0.7 | 0.9958 ± 0.0035 | 0.9964 ± 0.0047 | 6.398 ± 2.7240 | 41.46 ± 6.722 | 0.8 | 0.9928 ± 0.0151 | 1.0000 ± 0.0000 | 2.738 ± 2.6772 | 37.79 ± 8.939 | 0.9 | 1.0000 ± 0.0000 | 1.0000 ± 0.0000 | 7.529 ± 0.2508 | 32.97 ± 9.095 | 1.0 | 1.0000 ± 0.0000 | 1.0000 ± 0.0000 | 7.299 ± 0.2905 | 35.63 ± 12.27 |
| Mean values | 0.9625 ± 0.0327 | 0.9764 ± 0.0218 | 6.3586 ± 1.1663 | 31.435 ± 7.453 |
|
|