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Baoding Liu - Uncertainty Theory

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty

by

Baoding Liu

£230.49 Free Shipping

Released
09/02/2011
Book Genre
Computer

Printed on Demand - expected to ship within 7-10 days

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Description

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.

Product Details

Number of Pages
350
Book Edition
1
Textual Format
Computer Applications
Book Publisher
SPRINGER
Place of Publication
United States
Book Series Type
Monograph Series, any
Academic Level
  • Scholarly
  • Undergraduate
Book Volume
  • 1
  • 6
  • 148
  • 4
Book Format
Hardcover
Contributing Authors
Baoding Liu
Series
Studies In Computational Intelligence
Dewey Decimal Classification
  • 600
  • 006
Dimensions
159 x 235 x 20 mm
Cast & Crew
Springer Verlag (Publisher)
Baoding Liu (Editor)
Springer-Verlag New York Inc (Publisher)
Text Stream (Publisher)
ISBN-10
ISBN-13