Incremental approaches to knowledge reduction based on characteristic matrices

摘要: Knowledge reduction is complicated with the dynamic change of object set in applications. In this paper, we propose incremental approaches to computing type-1 and type-2 characteristic matrices coverings respect variation objects. Also present two algorithms calculating second sixth lower upper approximations sets when adding deleting more objects covering approximation spaces. Subsequently, employ experiments validate that are effective efficient construct information systems. Finally, preform knowledge decision systems by using approaches.