From the rear cover
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.
Details
- Title Uncertainty Theory
- Author Baoding Liu
- Binding Paperback
- Edition Softcover reprin
- Pages 255
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2010-11-17
- ISBN 9783642092176 / 3642092179
- Weight 0.84 lbs (0.38 kg)
- Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
- Dewey Decimal Code 003.54
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Uncertainty Theory
by Baoding Liu
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Uncertainty Theory (Studies in Fuzziness and Soft Computing)
by Baoding Liu
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