An approach on attribute reduction based on model of granular computing in information systems

Granular Computing(GrC)is a new theory and method of intelligence computing based on the problem concept space partition.In recent years,GrC has attracted a considerable attention.The fuzzy granularity model,rough granularity model,neighborhood granular model,entropy space granular model and the tolerance relation granular model are common GrC models.In this paper,an approach of computing core attributes based on granular computing model in rough set theory form decision information systems was proposed.On the basis of the core attributes,a method of attribute reduction form decision information systems was developed.An example illustrates the efficiency of these approaches.