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Uncertainty-Based Information

Elements of Generalized Information Theory

  • George J. Klir
  • Mark J. Wierman

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 15)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. George J. Klir, Mark J. Wierman
    Pages 1-6
  3. George J. Klir, Mark J. Wierman
    Pages 7-41
  4. George J. Klir, Mark J. Wierman
    Pages 43-106
  5. George J. Klir, Mark J. Wierman
    Pages 107-133
  6. George J. Klir, Mark J. Wierman
    Pages 135-140
  7. Back Matter
    Pages 141-170

About this book

Introduction

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.

Keywords

Fuzzy-Logic Fuzzy-Logik IEEE transactions on fuzzy systems Informationstheorie Probability theory Shannon fuzzy fuzzy logic fuzzy sets and systems information information theory set theory uncertainty

Authors and affiliations

  • George J. Klir
    • 1
  • Mark J. Wierman
    • 2
  1. 1.Center for Intelligent Systems and Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied ScienceBinghamton University — SUNYBinghamtonUSA
  2. 2.Center for Research in Fuzzy Mathematics and Computer Science and Mathematics and Computer Science DepartmentCreighton UniversityOmahaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1869-7
  • Copyright Information Physica-Verlag Heidelberg 1999
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2464-3
  • Online ISBN 978-3-7908-1869-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site