A Reduction Algorithm for Multi-decision-making Table of Rough Sets

The reduction of attributes is the center part of rough sets. The reduction algorithm under instruction to deal with multi-decision-making table of rough sets has been proposed in this paper. This algorithm has both the advantage of indispensable attributes method and discernibility matrix method. Also it has more flexible after add experts´ instruction to the process of attributes selection and reduction. Adding experience in the process of attribute reduction can improve efficiency and satisfaction degree of the result. The emulated result has proved the validity and advantage of this algorithm, and the detailed steps of using the reduction method have given by an application example