Approximation Schemes in Logic and Artificial Intelligence

  • Authors:
  • Victor W. Marek;Mirosław Truszczyński

  • Affiliations:
  • Department of Computer Science, University of Kentucky, Lexington, USA KY 40506-0046;Department of Computer Science, University of Kentucky, Lexington, USA KY 40506-0046

  • Venue:
  • Transactions on Rough Sets IX
  • Year:
  • 2008

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Abstract

Approximate reasoning is used in a variety of reasoning tasks in logic-based artificial intelligence. In this paper we present several such reasoning schemes and show how they relate and differ from the approach of Pawlak's Rough Sets.