Representing Reliability and Hesitation in Possibility Theory: A General Framework

  • Chris Cornelis
  • Martine De Cock
  • Etienne Kerre
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 24)

Abstract

Possibility theory, introduced by Zadeh in [5], is a formalism that tries to capture in mathematical terms imprecise (typically, linguistic) information about the more or less plausible values that a variable may assume. For instance, a statement like “decent houses in Gent do not come cheap” flexibly restricts plausible buying prices by pointing out that a low budget will not get very you far in this town. Compare this to “I found a nice place in Gent for about 100.000 EUR”, which gives you a guarantee (by explicit example) that properties in a given price range can be found. The examples we quoted are instances of what is called negative or constraint-based and positive or observation-based information respectively in the literature [3, 4]: the first kind rules out certain values for the buying price X, while the second kind only designates certain observed values as “definitely possible” while saying nothing about the rest.

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References

  1. 1.
    Cornelis C, De Cock M, Kerre E (2002) Assessing degrees of possibility and certainty within an unreliable environment. In: Lotfi A, Garibaldi J, John R (eds) Proceedings of Fourth International Conference on Recent Advances in Soft Computing.Google Scholar
  2. 2.
    Cornelis C, Atanassov K, Kerre E (2003) Intuitionistic Fuzzy Sets and Interval– Valued Fuzzy Sets: a Critical Comparison, To appear in: Proceedings of EUSFLAT 2003.Google Scholar
  3. 3.
    Cornelis C, Kerre E (2003) Generalized ( Guaranteed) Possibility Distributions for Hesitation and Reliability Representation. Submitted to Fuzzy Sets and Systems.Google Scholar
  4. 4.
    Dubois D, Prade H, Ughetto L(2002) A New Perspective on Reasoning with Fuzzy Rules. In: Pal N, Sugeno M (eds) Proceedings of 2002 International Conference on Fuzzy Systems, LNAI 2275, Springer.Google Scholar
  5. 5.
    Zadeh L (1978) Fuzzy Sets as a Basis for a Theory of Possibility. Fuzzy Sets and Systems 1: 3 - 28MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Chris Cornelis
    • 1
  • Martine De Cock
    • 1
  • Etienne Kerre
    • 1
  1. 1.Applied Mathematics and Computer Science Dept.Fuzziness and Uncertainty Modelling Research UnitGentBelgium

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