ENGLISH

Incomplete Information: Rough Set Analysis

By Ewa Orlowska (auth.) , Prof. Dr. Ewa Orłowska (eds.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
1998
ISBN
978-3-7908-2457-5, 978-3-7908-1888-8
DOI
10.1007/978-3-7908-1888-8
Language
english
Format
PDF
Filesize
20 MB (21461310 bytes)
Series
Studies in Fuzziness and Soft Computing 13
Edition
1
Pages
613\614
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Theory of Computation; Artificial Intelligence (in

Description

The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two particular aspects of incompleteness, namely indiscernibility and similarity. Those manifestations of particular aspects of incompleteness are inherent in any data structure and any cognitive unit. Knowledge discovered from such an information is uncertain in that it can only be asserted with a tolerance. The methods developed in the book are capable of exposing the limits of that tolerance and of making reliable inferences in the environments where complete information is not available. The framework presented in the book is general and unrestrictive, and yet at the same time captures the relevant features of a great variety of the user's data.

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