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

Table 5

Results of VPRS-GA running 5 times when , _.

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{5 9 14 20 26 41 43 46 48 54 55 57 64 66 74 79 86 90}	18	−4.6487	0.9965	1072.4072
2	{1 4 11 12 14 24 34 40 42 43 56 60 61 65 67 68 71 72 85}	19	−4.0109	1	632.8122
3	{2 13 27 29 39 42 45 56 59 63 68 70 75}	13	−4.6512	0.9990	1102.3967
4	{1 3 4 7 9 11 12 15 30 34 38 42 46 48 55 62 65 77 79}	19	−4.9674	1	879.4670
5	{3 9 11 13 29 39 41 42 43 46 50 55 65 c77 85 86}	16	−4.4114	0.9815	1507.5539
Average value		17	−4.5379	0.9954	1038.9274