Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty: 300 - Rilegato

Liu, Baoding

 
9783642139581: Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty: 300
Rilegato
ISBN 10: 3642139582 ISBN 13: 9783642139581
Casa editrice: Springer-Nature New York Inc, 2011

Sinossi

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2011
Lingua
Inglese
ISBN 10 
3642139582
ISBN 13 
9783642139581
Rilegatura
Copertina rigida
Numero di pagine
350
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783642422485: Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty: 300

Edizione in evidenza

ISBN 10:  3642422489 ISBN 13:  9783642422485
Casa editrice: Springer, 2014
Brossura