Application of Binary System to Information Table Based on Rough Set

摘要

First the traditional objects-attribute information table converted into a objects-attribute-attribute value table by using binary. Then two new concept is defined in this paper: concept vector instead of elementary sets (the equivalence classes of R) and knowledge matrix instead of equivalence relation of R by using binary system. Put forward a new solution to the lower and upper approximations support subset on rough set by using concept vector and knowledge matrix. Examples also are given.