• DocumentCode
    499034
  • Title

    Revisit Boolean Lattice based Fuzzy Description Logic

  • Author

    Feng, Sha-Sha ; Zhang, Yong-Gang ; Sun, Ji-gui

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    297
  • Lastpage
    301
  • Abstract
    Fuzzy description logics are a family of logics which allow the representation of (and the reasoning within) structured knowledge affected by uncertainty and vagueness. A well studied solution is to extend description logics with fuzzy sets theory. To solve implication problems in this kind of fuzzy description logics, Boolean lattice based fuzzy description logics is revisited. This paper shows that compared with fuzzy sets based fuzzy description logics, the new formalism not only eliminates the counter-intuitive implication problem, but also possesses simply and efficient reasoning algorithms. Boolean lattice based fuzzy description logic also find its potential application in debugging knowledge base and distributed fuzzy description logics.
  • Keywords
    Boolean algebra; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; distributed fuzzy description logic; fuzzy sets theory; knowledge debugging; reasoning algorithm; revisit Boolean lattice; structured knowledge representation; Boolean functions; Cybernetics; Fuzzy logic; Lattices; Machine learning; Boolean Lattice; Fuzzy Description Logic; Ontology; knowledge representation and reasoning; uncertain knowlege;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212493
  • Filename
    5212493