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Types and Measures of Uncertainty

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Consensus Under Fuzziness

Part of the book series: International Series in Intelligent Technologies ((ISIT,volume 10))

Abstract

This paper is an overview of the current state of affairs in the area of measuring uncertainty. Three basic types of uncertainty are introduced: nonspecificity and conflict, which result from information deficiency, and fuzziness, which results from linguistic imprecision. Well-justified measures of these types of uncertainty in fuzzy set theory, possibility theory, Dempster-Shafer, theory as well as in classical set theory and probability theory are overviewed.

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Author information

Authors and Affiliations

  1. Center for Intelligent Systems and Department of Systems Science & Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science Binghamton University — SUNY, Binghamton, NY, 13902-6000, USA

    George J. Klir & David Harmanec

Authors
  1. George J. Klir
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  2. David Harmanec
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Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  2. University of Turku, Turku, Finland

    Hannu Nurmi

  3. University of Trento, Trento, Italy

    Mario Fedrizzi

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© 1997 Springer Science+Business Media New York

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Klir, G.J., Harmanec, D. (1997). Types and Measures of Uncertainty. In: Kacprzyk, J., Nurmi, H., Fedrizzi, M. (eds) Consensus Under Fuzziness. International Series in Intelligent Technologies, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6333-4_3

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  • DOI: https://doi.org/10.1007/978-1-4615-6333-4_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7908-9

  • Online ISBN: 978-1-4615-6333-4

  • eBook Packages: Springer Book Archive

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