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Uncertainty and RuleML Rulebases: A Preliminary Report

  • Giorgos Stoilos
  • Giorgos Stamou
  • Vassilis Tzouvaras
  • Jeff Z. Pan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3791)

Abstract

Uncertainty, like imprecision and vagueness, has gained considerable attention the last decade. To this extend we present a preliminary report on extending the Rule Markup Language (RuleML) with fuzzy set theory, in order to be able to represent and handle vague knowledge. We also provide semantics for the case of fuzzy FOL RuleML.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Giorgos Stoilos
    • 1
  • Giorgos Stamou
    • 1
  • Vassilis Tzouvaras
    • 1
  • Jeff Z. Pan
    • 2
  1. 1.Department of Electrical and Computer EngineeringNational Technical University of AthensZographouGreece
  2. 2.School of Computer ScienceThe University of ManchesterManchesterUK

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