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

Table 10

Results of VPRS-GA running 5 times when , .

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{8 9 11 12 15 16 17 18 25 26 29 31 35 39 40 41 42 48 58 65 67 68 70 83 84 91}	26	−6.7816	0.9490	1000.2827
2	{1 6 8 9 11 12 15 17 21 23 26 28 30 31 34 44 50 56 58 59 62 63 64 68 71 75 77 82 89 92}	30	−6.7797	0.9615	947.7387
3	{6 8 12 14 15 16 17 21 28 35 38 39 45 49 55 58 61 62 64 65 77 82 85}	23	−6.8694	0.9070	1286.6181
4	{4 6 7 8 11 12 13 16 17 20 25 26 31 32 34 35 41 42 44 49 50 55 58 68 72 74 76 78 79 85 89 92}	32	−6.7225	0.9540	1051.0220
5	{3 6 8 9 10 16 17 26 27 34 36 37 38 40 42 44 46 51 52 62 66 67 84 86 87}	25	−6.5892	0.8405	846.9324
Average value		27.2	−6.7484	0.9224	1026.5188