• DocumentCode
    424096
  • Title

    A general version of knowledge reduction in R-information systems

  • Author

    Wu, Wei-Zhi ; Mi, Ju-Sheng ; Li, Huai-Zu

  • Author_Institution
    Sch. of Manage, Xi´´an Jiaotong Univ., China
  • Volume
    3
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    1561
  • Abstract
    Attribute reduction is one of the main issues in classification knowledge acquisition in information systems. Many types of attribute reduction have been proposed in the area of rough sets. In this paper the concept of an R-information system is introduced and a general version of attribute reduction in R-information systems is proposed, then the judgment theorems concerning the reduction are presented.
  • Keywords
    classification; information systems; knowledge acquisition; rough set theory; R-information systems; attribute reduction; classification; knowledge acquisition; knowledge reduction; rough sets; Educational institutions; Information science; Information systems; Intelligent systems; Knowledge acquisition; Machine learning; Mathematics; Oceans; Rough sets; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382022
  • Filename
    1382022
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=424096