Restoring Consistency in Systems of Fuzzy Gradual Rules Using Similarity Relations

  • Authors:
  • Isabela Drummond;Lluis Godo;Sandra Sandri

  • Affiliations:
  • -;-;-

  • Venue:
  • SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

We present here a method that uses similarity relations to restore consistency in fuzzy gradual rules systems: we propose to transform potentially inconsistent rules by making their consequents more imprecise. Using a suitable similarity relation we obtain consistent rules with a minimum of extra imprecision. We also present an application to illustrate the approach.