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EBOOK
Author Roventa, Eugene.
Title Management of knowledge imperfection in building intelligent systems / Eugene Roventa and Tiberiu Spircu.
Imprint Berlin : Springer, 2009.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Author Roventa, Eugene.
Series Studies in fuzziness and soft computing ; v. 227
Studies in fuzziness and soft computing ; v. 227.
Subject Artificial intelligence.
Logic programming.
Alt Name Spircu, Tiberiu.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Roventa, Eugene.
Series Studies in fuzziness and soft computing ; v. 227
Studies in fuzziness and soft computing ; v. 227.
Subject Artificial intelligence.
Logic programming.
Alt Name Spircu, Tiberiu.
Description 1 online resource.
Bibliography Note Includes bibliographical references and index.
Contents "Classical" expert systems -- Knowledge representation -- Uncertainty and classical theory of probability -- Statistical inference -- Bayesian (belief) networks -- Certainty factors theory -- Belief theory -- Possibility theory -- Approximate reasoning -- Review.
Summary There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. This book is among the few books to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book includes undergraduate students in computer science, IT & C, mathematics, business, medicine, etc., graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representa-tion, reasoning under knowledge Imperfection (Probability Theory, Possibility Theory, Belief Theory, and Approximate Reasoning). Most of the examples discussed in details throughout the book are from the medical domain. Each chapter ends with a set of carefully pedagogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Features of the book: a) Comprehensive comparative approach to deal with most of the techniques of management of knowledge imperfection b) Breakthrough fuzzy techniques approach for handling real word imprecision c) Numerous examples throughout the book in the medical domain d) Each chapter is followed by a set of detailed solved exercises.
Note Print version record.
ISBN 9783540774631
3540774637
9783540774624
3540774629
9783540774624
ISBN/ISSN 10.1007/978-3-540-77463-1
Publisher # 10966419
OCLC # 310352224
Additional Format Print version: Roventa, Eugene. Management of knowledge imperfection in building intelligent systems. Berlin : Springer, 2009 (DLC) 2008933226



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