Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems (2000) (Studies in Fuzziness and Soft Computing #56)

By: Lech Polkowski and Shusaku Tsumoto and Tsau Y. Lin

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Synopsis: 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, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

Book Quality:: Publisher Quality
ISBN-13:: 9783790818406
Related ISBNs:: 9783790813289
Publisher:: Physica-Verlag HD
Date of Addition:: 07/28/22
Copyrighted By:: N/A
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics, Philosophy
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Lech Polkowski
Edited by:: Shusaku Tsumoto
Edited by:: Tsau Y. Lin