Attribute reduction among decision tables by voting

In the paper, we propose a novel method of attribute reduction among decision tables by voting. Different from almost all of other methods of attribute reduction, the method is at higher level of granularity. Its granularity is decision tables but not equivalence classes. The method could be applied into the cases of tremendously large data and dynamical data.