A Model of High-Dimensional Feature Reduction Based on Variable Precision Rough Set and Genetic Algorithm in Medical Image

Table 7

Results of VPRS-GA running 5 times when , .

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{4 5 7 26 27 34 35 41 47 54 55 71 74 75 78 80 83 90}	18	−1.4192	0.7590	688.8635
2	{4 15 16 19 22 27 28 29 30 35 38 42 45 50 52 53 59 61 62 64 65 70 71 72 77 87 88}	27	−1.5232	0.8640	812.4857
3	{6 17 19 24 28 31 33 34 38 39 43 45 47 48 49 51 55 56 66 67 69 70 71 72 76 77 78 80 81 84 87 89 91 92}	34	−1.3545	0.7950	952.1511
4	{3 6 8 9 16 17 19 20 24 25 28 35 37 39 41 42 46 49 51 52 54 59 63 65 66 74 83 86}	28	−1.4703	0.8365	871.4839
5	{1 7 8 15 17 19 20 23 29 37 45 48 54 60 62 70 73 75 77 78 79 86}	22	−1.4990	0.7995	779.7617
Average value		25.8	−1.4532	0.8108	820.9492