International Conference on Scalable Uncertainty Management

SUM 2015: Scalable Uncertainty Management pp 249-263

Uncertain Logical Gates in Possibilistic Networks. An Application to Human Geography

  • Didier Dubois
  • Giovanni Fusco
  • Henri Prade
  • Andrea Tettamanzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9310)

Abstract

Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. This paper presents the possibilistic counterparts of the noisy probabilistic connectives (and, or, max, min, ...). Their interest is illustrated on an example taken from a human geography modeling problem. The difference of behaviors in some cases of some possibilistic connectives, with respect to their probabilistic analogs, is discussed in details.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Didier Dubois
    • 1
  • Giovanni Fusco
    • 2
  • Henri Prade
    • 1
  • Andrea Tettamanzi
    • 3
  1. 1.IRIT – CNRSToulouseFrance
  2. 2.Univ. Nice Sophia Antipolis/CNRS, ESPACE, UMR7300NiceFrance
  3. 3.Univ. Nice Sophia Antipolis/CNRS, I3S, UMR7271Sophia AntipolisFrance

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