• DocumentCode
    315916
  • Title

    Fuzzy rule encoding techniques

  • Author

    Roychowdhury, Sohini ; Shenoi, Sujeet

  • Author_Institution
    Dept. of Comput. Sci., Tulsa Univ., OK, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    823
  • Abstract
    Knowledge discovery in precise databases can be enhanced by introducing common sense knowledge expressed as fuzzy rules. The fuzzy rules catalyze database inference and manifest latent knowledge (facts and rules). This paper describes three techniques for generating new rule-based knowledge by combining other precise/fuzzy rules. In addition to knowledge discovery, the work has relevance to database security, especially inference analysis and control
  • Keywords
    common-sense reasoning; database theory; fuzzy logic; fuzzy set theory; knowledge acquisition; common sense knowledge; database inference; database security; fuzzy rule encoding techniques; inference analysis; knowledge discovery; latent knowledge; precise databases; rule-based knowledge; Computer science; Contracts; Data security; Databases; Encoding; Fuzzy logic; Fuzzy sets; Libraries; Remuneration; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.622816
  • Filename
    622816