Optimization of inhibitory decision rules relative to length and coverage

Fawaz Alsolami, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The paper is devoted to the study of algorithms for optimization of inhibitory rules relative to the length and coverage. In contrast with usual rules that have on the right-hand side a relation "attribute ≠ value", inhibitory rules have a relation "attribute = value" on the right-hand side. The considered algorithms are based on extensions of dynamic programming. © 2012 Springer-Verlag.
Original languageEnglish (US)
Title of host publicationRough Sets and Knowledge Technology
PublisherSpringer Nature
Pages149-154
Number of pages6
ISBN (Print)9783642318993
DOIs
StatePublished - 2012

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Optimization of inhibitory decision rules relative to length and coverage'. Together they form a unique fingerprint.

Cite this