
Uncertainty-Based Information
Elements of Generalized Information Theory
Physica (Publisher)
2nd Edition
Published on 21. October 2010
Book
Paperback/Softback
XVI, 168 pages
978-3-7908-2464-3 (ISBN)
Description
Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are cold. His existence was paradoxical to classical physics and only the realization that information too was a source of power led to his taming. Information has recently become a commodity, traded and sold like or ange juice or hog bellies. Colleges give degrees in information science and information management. Technology of the computer age has provided access to information in overwhelming quantity. Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory. The volume is organized as follows.
More details
Series
Edition
Second Edition 1999
Language
English
Place of publication
Heidelberg
Germany
Target group
Professional and scholarly
Research
Illustrations
XVI, 168 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
300 gr
ISBN-13
978-3-7908-2464-3 (9783790824643)
DOI
10.1007/978-3-7908-1869-7
Schweitzer Classification
Other editions
Additional editions

George J. Klir | Mark J. Wierman
Uncertainty-Based Information
Elements of Generalized Information Theory
Book
10/1999
2nd Edition
Physica
€106.99
Shipment within 10-15 days
Content
Introduction
: Significance of Uncertainty; Uncertainty and Information.-
Uncertainty Formalizations
: Classical Sets: Terminology and Notation; Fuzzy Set Theory; Fuzzy Measure Theory; Evidence Theory; Probability Theory; Possibility Theory; Overview of Uncertainty Theories.-
Uncertainty
Measures
: Nonspecifity; Conflict; Aggregate Uncertainty in Evidence Theory; Fuzziness; Summary of Uncertainty Measures.-
Principles of Uncertainty
: Principle of Minimum Uncertainty; Principle of Maximum Uncertainty; Principle of Uncertainty Invariance; Summary of Uncertainty Principles.-
Conclusions
.