Studies in Fuzziness and Soft Computing

Uncertainty Theory

Authors: Liu, Baoding

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  • Completely rewritten second edition
  • Self-contained, comprehensive and up-to-date presentation of uncertainty theory
  • Axiomatic approach to equip the reader to deal with uncertainty
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  • ISBN 978-3-540-73165-8
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About this book

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.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-540-73165-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover $169.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Uncertainty Theory
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
154
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-73165-8
DOI
10.1007/978-3-540-73165-8
Softcover ISBN
978-3-642-09217-6
Series ISSN
1434-9922
Edition Number
2
Number of Pages
X, 255
Topics