Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty Paperback - 2014
by Baoding Liu (Editor)
From the rear cover
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
- Title Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty
- Author Baoding Liu (Editor)
- Binding Paperback
- Pages 350
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2014-11-12
- Illustrated Yes
- Features Illustrated
- ISBN 9783642422485 / 3642422489
- Weight 1.13 lbs (0.51 kg)
- Dimensions 9.21 x 6.14 x 0.76 in (23.39 x 15.60 x 1.93 cm)
- Dewey Decimal Code 003.54
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Uncertainty Theory : A Branch of Mathematics for Modeling Human Uncertainty
by Baoding Liu
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- ISBN 10 / ISBN 13
- 9783642422485 / 3642422489
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