A symbolic approximate reasoning under fuzziness

  • Authors:
  • Mazen El-Sayed;Daniel Pacholczyk

  • Affiliations:
  • Faculty of sciences, University of Angers, ANGERS Cedex, France;Faculty of sciences, University of Angers, ANGERS Cedex, France

  • Venue:
  • IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
  • Year:
  • 2003

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Abstract

We study knowledge-based systems using symbolic many-valued logic. In previous papers we have proposed a symbolic representation of nuanced statements. Firstly, we have introduced a symbolic concept whose role is similar to the role of the membership function within a fuzzy context. Using this concept, we have defined linguistic modifiers. In this paper, we propose new deduction rules dealing with nuanced statements. More precisely, we present new Generalized Modus Ponens rules within a many-valued context.