A direct approach for incomplete information systems

Hai Huang; Guoyin Wang; Yu Wu

doi:10.1117/12.539679

12 April 2004 A direct approach for incomplete information systems

Hai Huang, Guoyin Wang, Yu Wu

Proceedings Volume 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI; (2004) https://doi.org/10.1117/12.539679
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

There are already some extensions of rough set theory for incomplete information systems, such as tolerance relation, limited tolerance relation, similarity relation, and etc. But there are no approaches and algorithms for these extensions. A direct approach for processing incomplete information systems is developed in this paper, including 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. It is both effective in complete and incomplete information systems.

Citation Download Citation

Hai Huang, Guoyin Wang, and Yu Wu "A direct approach for incomplete information systems", Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); https://doi.org/10.1117/12.539679

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