A Symbolic Approach To Uncertainty Management

  • Authors:
  • Mohamed Chachoua;Daniel Pacholczyk

  • Affiliations:
  • Laboratoire d'informatique LERIA, Université d'ANGERS, U.F.R Sciences, 2, Boulevard Lavoisier, F-49045 Angers Cedex 01, France. chachoua@univ-angers.fr;Laboratoire d'informatique LERIA, Université d'ANGERS, U.F.R Sciences, 2, Boulevard Lavoisier, F-49045 Angers Cedex 01, France. pacho@univ-angers.fr

  • Venue:
  • Applied Intelligence
  • Year:
  • 2000

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Abstract

In this paper, we present a new symbolic approach to deal with the uncertainty encountered in common-sense reasoning. This approach enables us to represent the uncertainty by using linguistic expressions of the interval [iCertain, iTotally uncertain]. The original uncertainty scale that we use here, presents some advantages over other scales in the representation and in the management of the uncertainty. The axioms of our theory are inspired by Shannon's entropy theory and built on the substrate of a symbolic many-valued logic. So, the uncertainty management in the symbolic logic framework leads to new generalizations of classical inference rules.