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

Table 3

Results of VPRS-GA running 5 times when 1- = 0.6, .

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{4 5 8 9 11 12 13 17 20 22 23 24 27 30 32 33 35 38 42 48 49 52 57 59 61 62 63 64 65 68 70 72 73 75 77 78 80 87 88 91 92}	41	−0.9705	0.9705	971.9144
2	{1 2 3 4 5 8 11 12 13 14 16 17 19 23 24 25 26 27 28 30 32 36 38 39 40 42 43 44 46 47 52 53 55 61 63 66 67 69 71 72 73 77 79 80 82 84 85 87 92}	49	−0.9685	0.9685	1007.6907
3	{4 6 11 12 15 17 18 24 25 26 28 29 31 36 38 39 42 43 45 47 49 53 56 65 68 69 72 76 77 79 80 81 83 85 88 91 92}	37	−0.9695	0.9695	1043.2000
4	{4 8 9 11 12 13 14 15 17 23 29 34 35 39 40 43 47 48 50 53 55 56 60 61 64 68 70 75 80 81 82 83 84 86}	34	−0.9790	0.9790	947.3111
5	{3 4 6 8 10 11 12 13 15 17 19 20 21 24 26 29 31 39 42 44 45 48 50 53 54 56 59 64 68 77 83 84 87 89 92}	35	−0.9775	0.9775	964.5092
Average value		39.2	−0.9730	0.9730	986.9251