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

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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 details

Edition:
2000
Series:
Studies in Fuzziness and Soft Computing (Book 56)
Author:
Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin
ISBN:
9783790818406
Related ISBNs:
9783790813289
Publisher:
Physica-Verlag HD
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2022-07-28
Usage restrictions:
Copyright
Copyright date:
2000
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction, Philosophy