Approximation schemes in logic and artificial intelligence

Victor W. Marek, Mirosław Truszczyński

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationTransactions on Rough Sets IX
Number of pages10
StatePublished - 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5390 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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