Chapter 2. Classical Possibility-Based Uncertainty Theory

  1. George J. Klir

Published Online: 7 NOV 2005

DOI: 10.1002/0471755575.ch2

Uncertainty and Information: Foundations of Generalized Information Theory

Uncertainty and Information: Foundations of Generalized Information Theory

How to Cite

Klir, G. J. (2005) Classical Possibility-Based Uncertainty Theory, in Uncertainty and Information: Foundations of Generalized Information Theory, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471755575.ch2

Author Information

  1. Binghamton University—SUNY, USA

Publication History

  1. Published Online: 7 NOV 2005
  2. Published Print: 4 NOV 2005

ISBN Information

Print ISBN: 9780471748670

Online ISBN: 9780471755579

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Keywords:

  • possibility functions;
  • necessity functions;
  • Hartley measure of uncertainty for finite sets;
  • Hartley measure of uncertainty for infinite sets;
  • classical (crisp) possibility theory

Summary

Classical (crisp) possibility theory, which is based on possibility and necessity functions, is surveyed. Hartley functional for measuring uncertainty in this theory for finite sets is introduced and its uniqueness is proven. A counterpart of this functional for infinite sets is introduced and it is shown that it possesses all required properties.