Knowledge acquisition under uncertainty — a rough set approach
✍ Scribed by Jerzy W. Grzymala-Busse
- Publisher
- Springer Netherlands
- Year
- 1988
- Tongue
- English
- Weight
- 685 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0921-0296
No coin nor oath required. For personal study only.
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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
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.