Authors:
- Most important feature of our book is a new methodology and new methods for approximate reasoning leading from experimental knowledge (e.g. sensor measurements) to conclusions in natural language. The new results include foundations of our approach built using rough set approach for inducing concept approximations and reasoning with them, methods for embadding background knowledge as well as non-monotonic reasoning in reasoning engines of intelligent systems
- Readers interested in constructing intelligent systems can learn a novel methodology crucial for development of such systems
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 202)
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Table of contents (15 chapters)
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Front Matter
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Introduction and Preliminaries
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Front Matter
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From Relations to Knowledge Representation
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Front Matter
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From Sensors to Relations
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"Knowledge representation is one of the most important elements of Artificial Intelligence, representing the study of how knowledge about the world can be represented and what kinds of reasoning can be done with that knowledge. The book contains three parts and is founded on the concept of rough sets. … This book is recommended to researchers interested in studying and applying rough set theory in various domains." (Ion Iancu, Zentralblatt MATH, Vol. 1131 (9), 2008)
Authors and Affiliations
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Department of Computer and Information Science, Linköping University, Sweden
Patrick Doherty, Andrzej Szałas
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The University of Economics and Computer Science, Olsztyn, Poland
Witold Łukaszewicz, Andrzej Szałas
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Institute of Mathematics, Warsaw University, Warsaw, Poland
Andrzej Skowron
Bibliographic Information
Book Title: Knowledge Representation Techniques
Book Subtitle: A Rough Set Approach
Authors: Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/3-540-33519-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-33518-4Published: 16 June 2006
Softcover ISBN: 978-3-642-07012-9Published: 25 November 2010
eBook ISBN: 978-3-540-33519-1Published: 31 May 2007
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VI, 334
Topics: Artificial Intelligence, Mathematical and Computational Engineering, Engineering, general