Uncertainty Theory

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility t...

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Détails bibliographiques
Auteur principal: Liu, Dr. Baoding
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:2nd ed. 2007.
Collection:Studies in Fuzziness and Soft Computing 154
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Edition sous un autre format:• Uncertainty theory, Baoding Liu, Deuxième édition, Berlin, Springer-Verlag, 2007, 1 vol. (X-255 p.), Studies in fuzziness and soft computing, 978-3-540-73164-1
• Uncertainty Theory, Texte imprimé, 9783642092176
• Uncertainty Theory, Texte imprimé, 9783540839743
Description
Résumé:Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540731658
ISSN:1860-0808
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