## a b s t r a c t Rough Set reduction is a typical iterative process; however, the user cannot give extra controls and preferences during the consecutively iterative process. In this paper, we propose a novel approach to Rough Set reduction by using control science viewpoint. In this model, inform
A unified approach to reducts in dominance-based rough set approach
β Scribed by Yoshifumi Kusunoki; Masahiro Inuiguchi
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 275 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1432-7643
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π SIMILAR VOLUMES
Rough set theory is a new approach to decision making in the presence of uncertainty and vagueness. Basic concepts of rough set theory will be outlined and its possible application will be briefly discussed. Further research problems will conclude the paper.
This issue of the International Journal of Intelligent Systems presents approaches to knowledge discovery based on rough set theory. [1][2][3][4][5][6][7][8] It is often the case that there are imperfections in raw input data needed for knowledge acquisition: uncertainty, vagueness, and incompletene