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Uncertainty Theory : A Branch of Mathematics for Modeling Human Uncertainty - Baoding Liu
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Uncertainty Theory : A Branch of Mathematics for Modeling Human Uncertainty - Paperback

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… More...

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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… More...

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2014

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… More...

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Baoding Liu:
Uncertainty Theory - Paperback

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… More...

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Uncertainty Theory - Baoding Liu
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Baoding Liu:
Uncertainty Theory - new book

2014, ISBN: 3642422489

[EAN: 9783642422485], Neubuch, [PU: Springer], New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

NEW BOOK. Shipping costs: EUR 10.90 Paperbackshop-US, Wood Dale, IL, U.S.A. [8408184] [Rating: 5 (von 5)]

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Details of the book
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.

Details of the book - Uncertainty Theory


EAN (ISBN-13): 9783642422485
ISBN (ISBN-10): 3642422489
Paperback
Publishing year: 2014
Publisher: Springer Berlin

Book in our database since 2015-01-17T15:37:47+00:00 (London)
Detail page last modified on 2021-08-20T00:12:51+01:00 (London)
ISBN/EAN: 3642422489

ISBN - alternate spelling:
3-642-42248-9, 978-3-642-42248-5
Alternate spelling and related search-keywords:
Book author: liu
Book title: uncertainty theory


Information from Publisher

Author: Baoding Liu
Title: Studies in Computational Intelligence; Uncertainty Theory - A Branch of Mathematics for Modeling Human Uncertainty
Publisher: Springer; Springer Berlin
350 Pages
Publishing year: 2014-11-12
Berlin; Heidelberg; DE
Printed / Made in
Language: English
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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