Direct Reduction Method for Incomplete Information System
Yu Chuan Wu · Mini-micro Systems · 2005
There are already some extensions of rough set theory for incomplete information systems, such as tolerance relation, limited tolerance relation, non-symmetric similarity relation, and etc, but there are only few attribute reduction algorithms, and each algorithm is based on a specific extension of rough set theory. An extended direct reduction approach for processing incomplete information systems is presented in this paper, which consists of discretization, attribute reduction, value reduction, and rule matching. This approach can be used in all kinds of extensions of rough set theory for incomplete information systems, and is unitive for complete information system and incomplete information systems.