Rough Set Knowledge Reduction Approach Based on GA
Zhi Tao · Systems Engineering · 2003
A kind of knowledge relative reduction Algorithm was proposed. With decision attribute support degree applied in knowledge express system, the support degree of the knowledge supplied by condition attribute for the whole decision was described and relative importance degree and relative core was obtained and relative core was obtained and as initial population in GA in order to accelerate convergence. Punishing function was used in fitness function to assuring reduction have fewer attributes and stronger support and search effect is very good. The practical results showed that the approach was effective in solving knowledge reduction.