Management of knowledge imperfection in building intelligent systems

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...

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Détails bibliographiques
Auteurs principaux: Roventa, Eugene, Spircu, Tiberiu (Auteur)
Autres auteurs: Kacprzyk, Janusz, 1947- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Collection:Studies in Fuzziness and Soft Computing 227
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Management of Knowledge Imperfection in Building Intelligent Systems, Texte imprimé, 9783540774624
Description
Résumé: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
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540774631
ISSN:1434-9922
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017