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

Table 15

Results of VPRS-GA running 5 times when , .

Experiment times	C_ reduction	Reduction length	Optimal fitness value	Attribute dependency degree	Time (s)
1	{2 3 4 5 11 13 16 18 24 30 34 37 39 41 42 51 55 64 70 77 78 82}	22	−3.4859	0.9060	2151.5464
2	{8 9 11 12 14 15 23 25 26 29 30 33 37 42 43 45 46 50 60 61 69 74 80 87 89}	25	−3.0845	0.9390	4276.1634
3	{8 11 12 13 16 18 19 24 29 36 37 43 64 65 68 71 86 91 92}	19	−3.5039	0.9150	2619.7164
4	{2 3 4 8 10 11 12 13 15 16 19 23 25 30 48 55 64 65 68 74 77 80 81 83 84 86 89}	27	−2.9150	0.9575	4427.1631
5	{5 8 9 11 12 15 17 23 25 29 31 36 39 41 48 54 59 63 80 83 86 89}	22	−2.9920	0.9525	4316.1464
Average value		23	−3.1962	0.9340	3558.1471