A Mixing Algorithm for Feature Attribute Selection
一个混合特征属性选择算法

The feature attribute selection is a very interesting problem.With the development of Rough Set theory(RS)during these years,many researchers and scholars proposed the attribute selection based on RS.But with the increasement of the attribute number,the efficiency declines rapidly.In this paper,we combine the RS theory with GA and propose a mixing heuristic algorithm for attribute selection.The experiment result shows that it can get better result and higher efficiency especially for settling the problem of large attribute number.