Uncertainty-Based Information Elements of Generalized Information Theory

Uncertainty-Based Information Elements of Generalized Information Theory / by George J. Klir, Mark J. Wierman.

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 wh...

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Bibliographic Details
Main Authors: Klir, George J. (Author), Wierman, Mark J. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1999.
Edition:2nd ed. 1999.
Series:Studies in Fuzziness and Soft Computing, 15
Springer eBook Collection.
Subjects:
Mathematical logic.
Coding theory.
Information theory.
Discrete mathematics.
Artificial intelligence.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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