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Baoding Liu:

Uncertainty Theory : A Branch of Mathematics for Modeling Human Uncertainty - Taschenbuch

2014, ISBN: 3642422489

[EAN: 9783642422485], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg Nov 2014], CREDIBILITY THEORY; FUZZY SETS; RANDOM ROUGH SETS, Druck auf Anfrage Neuware - Uncertainty theory is a… Mehr…

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ISBN: 9783642422485

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfie… Mehr…

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ISBN: 9783642422485

A Branch of Mathematics for Modeling Human Uncertainty Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product m… Mehr…

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Baoding Liu:
Uncertainty Theory - Taschenbuch

ISBN: 9783642422485

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfie… Mehr…

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Uncertainty Theory - neues Buch

2014, ISBN: 3642422489

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Details zum Buch
Uncertainty Theory

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.

Detailangaben zum Buch - Uncertainty Theory


EAN (ISBN-13): 9783642422485
ISBN (ISBN-10): 3642422489
Taschenbuch
Erscheinungsjahr: 2014
Herausgeber: Springer Berlin

Buch in der Datenbank seit 2015-01-17T16:37:47+01:00 (Berlin)
Detailseite zuletzt geändert am 2021-08-20T01:12:51+02:00 (Berlin)
ISBN/EAN: 3642422489

ISBN - alternative Schreibweisen:
3-642-42248-9, 978-3-642-42248-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: liu
Titel des Buches: uncertainty theory


Daten vom Verlag:

Autor/in: Baoding Liu
Titel: Studies in Computational Intelligence; Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty
Verlag: Springer; Springer Berlin
350 Seiten
Erscheinungsjahr: 2014-11-12
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XI, 350 p.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Ingenieurwissenschaften; Credibility Theory; Fuzzy Sets; Random Fuzzy Theory; Rough Sets; Uncertainty Theory; Computational Intelligence; Artificial Intelligence; e-Commerce and e-Business; IT in Business; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; E-Commerce: geschäftliche Aspekte; Wirtschaftsmathematik und -informatik, IT-Management; Unternehmensanwendungen; BB

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.
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