Rough Set Methods and Applications New Developments in Knowledge Discovery in Information Systems /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Polkowski, Lech (Editor, http://id.loc.gov/vocabulary/relators/edt), Tsumoto, Shusaku (Editor, http://id.loc.gov/vocabulary/relators/edt), Lin, Tsau Y. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2000.
• Edition: 1st ed. 2000.
• Series: Studies in Fuzziness and Soft Computing, 56
• Subjects: Artificial intelligence.; Mathematical logic.; Information technology.; Business-Data processing.; Artificial Intelligence.; Mathematical Logic and Formal Languages.; IT in Business.

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, temp...