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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Bibliografiset tiedot
Päätekijät: Roventa, Eugene, Spircu, Tiberiu (Tekijä)
Muut tekijät: Kacprzyk, Janusz, 1947- (Päätoimittaja)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Sarja:Studies in Fuzziness and Soft Computing 227
Linkit:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Huomautus: 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
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100 1 |a Roventa, Eugene. 
245 1 0 |a Management of knowledge imperfection in building intelligent systems   |c by Eugene Roventa, Tiberiu Spircu ; edited by Janusz Kacprzyk. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Studies in Fuzziness and Soft Computing  |v 227  |x 1434-9922 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a 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 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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 
700 1 |a Spircu, Tiberiu.  |4 aut 
700 1 |a Kacprzyk, Janusz,  |d 1947-  |4 pbd 
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