Toward Rough Knowledge Bases with Quantitative Measures

  • Aida Vitória
  • Carlos Viegas Damásio
  • Jan Małuszyński
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3066)


We present a language for defining new rough relations from given decision tables and we show how to query relations defined in this way. The language provides a uniform formalism for expressing rough data together with background knowledge, and for capturing well-known techniques such as the variable precision rough set model. Its essential feature is the use of quantitative measures, such as support, strength and accuracy.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Aida Vitória
    • 1
  • Carlos Viegas Damásio
    • 2
  • Jan Małuszyński
    • 3
  1. 1.Dept. of Science and TechnologyLinköping UniversityNorrköpingSweden
  2. 2.Centro de Inteligência Artificial (CENTRIA), Dept. Informática, Faculdade de Ciências e TecnologiaUniversidade Nova de LisboaCaparicaPortugal
  3. 3.Dept. of Computer and Information ScienceLinköping UniversityLinköpingSweden

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