Based on vaccine extraction and immune optimum rough sets attribute reduction

Based on the inspiration of immune system, a prior knowledge of attribute kernel as bacterins is introduced to antibody coding and the population is vaccinated in a stochastic way. The classification approximation quality is took as the antibody affinity, conduct clonal selection to enhance the diversity of antibody and affinity maturation. Through those modifications, solves the problem of quickly obtain minimum reductions and more reductions of the rough sets. Experimental results illustrate that the approach is an effective and quick way in solving attribute reduction. The simulation results illustrated it´s efficiency and verified it´s remarkable quality of the global and local convergence reliability.