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Management of Knowledge Imperfection in Building Intelligent Systems: 227 (Studies in Fuzziness and Soft Computing) - Tapa blanda
Sinopsis
This book is among the very few to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. The authors are of the belief that an entire book should be focused on this important aspect of knowledge processing.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Management of Knowledge Imperfection in Building Intelligent Systems (eng)
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Management of Knowledge Imperfection in Building Intelligent Systems
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Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642096131
ISBN 13: 9783642096136
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. To our knowledge this is among the few books to be entirely dedicated to the treatment of knowledge imperfection when bui- ing intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book - cludes 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 representation, 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 pe- gogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Chapter 1 is dedicated to the review of expert systems. Hence are briefly discussed production rules, structure of ES, reasoning in an ES, and conflict resolution. Chapter 2 treats knowledge representation. That includes the study of the differences between data, information and knowledge, logical systems with focus on predicate calculus, inference rules in classical logic, semantic nets and frames. 268 pp. Englisch. Nº de ref. del artículo: 9783642096136
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Management of Knowledge Imperfection in Building Intelligent Systems
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Springer Berlin Heidelberg, 2010
ISBN 10: 3642096131
ISBN 13: 9783642096136
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Tapa blanda
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book treating the knowledge imperfection in building intelligent systemsIncludes a lot of examples and Visual Prolog programsThere are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowled. Nº de ref. del artículo: 5048617
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Management of Knowledge Imperfection in Building Intelligent Systems
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Management of Knowledge Imperfection in Building Intelligent Systems
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Management of Knowledge Imperfection in Building Intelligent Systems
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Management of Knowledge Imperfection in Building Intelligent Systems
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Taschenbuch. Condición: Neu. Management of Knowledge Imperfection in Building Intelligent Systems | Eugene Roventa (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | xiv | Englisch | 2010 | Springer | EAN 9783642096136 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 107220328
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Management of Knowledge Imperfection in Building Intelligent Systems
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Springer, Springer Nov 2010, 2010
ISBN 10: 3642096131
ISBN 13: 9783642096136
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. To our knowledge this is among the few books to be entirely dedicated to the treatment of knowledge imperfection when bui- ing intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book - cludes 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 representation, 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 pe- gogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Chapter 1 is dedicated to the review of expert systems. Hence are briefly discussed production rules, structure of ES, reasoning in an ES, and conflict resolution. Chapter 2 treats knowledge representation. That includes the study of the differences between data, information and knowledge, logical systems with focus on predicate calculus, inference rules in classical logic, semantic nets and frames.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch. Nº de ref. del artículo: 9783642096136
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Management of Knowledge Imperfection in Building Intelligent Systems
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. To our knowledge this is among the few books to be entirely dedicated to the treatment of knowledge imperfection when bui- ing intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book - cludes 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 representation, 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 pe- gogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Chapter 1 is dedicated to the review of expert systems. Hence are briefly discussed production rules, structure of ES, reasoning in an ES, and conflict resolution. Chapter 2 treats knowledge representation. That includes the study of the differences between data, information and knowledge, logical systems with focus on predicate calculus, inference rules in classical logic, semantic nets and frames. Nº de ref. del artículo: 9783642096136
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Management of Knowledge Imperfection in Building Intelligent Systems (Studies in Fuzziness and Soft Computing)
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