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Uncertainty Representation in Knowledge Based Systems

  • Conference paper
Expert Systems in Structural Safety Assessment

Part of the book series: Lecture Notes in Engineering ((LNENG,volume 53))

Abstract

Fuzzy Set Theory as proposed by L. Zadeh in 1965 is adaptable to different problem structures and well suited to model human evaluation and decision making processes. If uncertainty enters into models, it is classically of the stochastic kind which can properly be modelled by using probability theory. There are other fields, however, in which the description of problems contains uncertainties, in which, however, they are of a different kind than randomness. One of the most important areas of this kind is probably that of human problem solving and decision making: here the human factor enters with all its vaguenesses of perception, of subjectivity, of attitudes of goals and conceptions. To use a modeling language which is dichotomous in this area seems far from adequate.

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Author information

Authors and Affiliations

  1. RWTH Aachen, Templergraben 55, Aachen, 5100, Germany

    H. -J. Zimmermann & B. Werners

Authors
  1. H. -J. Zimmermann
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  2. B. Werners
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Editor information

Editors and Affiliations

  1. Staatliche Materialprüfungsanstalt (MPA), Universität Stuttgart, Pfaffenwaldring 32, Stuttgart 80, 7000, Germany

    Aleksandar S. Jovanović  & Karl F. Kussmaul  & 

  2. Institute for Systems Engineering JRC Ispra, Ispra (VA), I-21020, Italy

    Alfredo C. Lucia

  3. General Electric Company, CRD-K-1, 5C32A, Schenectady, NY, 12301, USA

    Piero P. Bonissone

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© 1989 Springer-Verlag Berlin, Heidelberg

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Zimmermann, H.J., Werners, B. (1989). Uncertainty Representation in Knowledge Based Systems. In: Jovanović, A.S., Kussmaul, K.F., Lucia, A.C., Bonissone, P.P. (eds) Expert Systems in Structural Safety Assessment. Lecture Notes in Engineering, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83991-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-83991-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51823-5

  • Online ISBN: 978-3-642-83991-7

  • eBook Packages: Springer Book Archive

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