• DocumentCode
    2143661
  • Title

    n-Strong-Direct-Product Formal Context

  • Author

    Li, Mei-Zheng ; Mi, Ju-Sheng

  • Author_Institution
    Coll. of Math. & Inf. Sci., Hebei Normal Univ., Shijiazhuang, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    286
  • Lastpage
    291
  • Abstract
    This paper constructs a new formal context called n-Strong-Direct-Product formal context (n-SDPFC, for short) by the strong direct product of n formal contexts, and then discusses the connection between the n-SDPFC and the n original contexts from four aspects: concept lattice, implications between attributes, irreducible elements and attribute characteristics. It is proved that the projection of every formal concept of a n-SDPFC on the i-th original formal context is also a concept of the corresponding original formal context, and under some given conditions, the product of n formal concepts of the n corresponding original formal contexts is a concept of the n-SDPFC. An implications between attributes of an n-SDPFC can be obtained if we know all of the implications between attributes in the original formal contexts, since it can be formed component-wise, and vice verse. A judgement theorem for irreducible elements in the concept lattice of an n-SDPFC is obtained, which is based on the irreducible elements in the n original concept lattices. Then we propose a method for the determination of the attribute characteristics in an n-SPDFC, which is based on the attribute characteristics of the original formal contexts. And this method makes it more easier to find out all of the attribute characteristics in an n-SDPFC.
  • Keywords
    data analysis; ontologies (artificial intelligence); attribute characteristic; concept lattice; irreducible element; n-SDPFC; n-strong-direct-product formal context; Bismuth; Conferences; Context; Knowledge representation; Lattices; Manganese; attribute characteristics; concept lattices; formal contexts; implications between attributes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.108
  • Filename
    5575988