Knowledge Representation Techniques: A Rough Set Approach
Author:   Patrick Doherty ,  Witold Lukaszewicz ,  Andrzej Szalas
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1st ed. Softcover of orig. ed. 2006
Volume:   202
ISBN:  

9783642070129


Pages:   334
Publication Date:   25 November 2010
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Knowledge Representation Techniques: A Rough Set Approach


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Author:   Patrick Doherty ,  Witold Lukaszewicz ,  Andrzej Szalas
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. Softcover of orig. ed. 2006
Volume:   202
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.539kg
ISBN:  

9783642070129


ISBN 10:   3642070124
Pages:   334
Publication Date:   25 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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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)


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