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

Table 17

Results of VPRS-GA running 5 times when , .

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{3 4 5 8 9 11 12 17 19 29 34 35 38 46 52 53 55 59 63 66 72 75 77 78 79 87 92}	27	−3.8867	0.9550	2898.1789
2	{4 8 9 11 12 15 17 29 33 37 38 39 42 43 48 55 67 73 78 81 83 84 88 89 90}	25	−3.8167	0.9715	5578.3772
3	{2 3 4 8 9 10 11 12 13 15 16 19 24 25 30 36 49 54 55 60 64 67 68 70 74 77 83 85 86 91}	30	−3.8807	0.9530	3483.1096
4	{4 5 7 11 12 14 15 17 25 29 33 36 39 41 42 47 48 50 55 56 58 62 67 69 72 74 77 84 86 90 91}	31	−3.9430	0.9665	3574.2822
5	{3 4 5 8 9 11 12 17 19 29 34 35 38 46 52 53 55 59 63 66 72 75 77 78 79 87 92}	27	−3.8867	0.9550	2791.9582
Average value		28	−3.8827	0.9602	3665.1812