• DocumentCode
    2753400
  • Title

    Similarity issues in attribute implications from data with fuzzy attributes

  • Author

    Belohlavek, Radim ; Vychodil, Vilem

  • Author_Institution
    Dept. Comp. Sci., Palacky Univ., Olomouc
  • fYear
    2006
  • fDate
    16-18 Sept. 2006
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    We study similarity in formal concept analysis of data tables with fuzzy attributes. We focus on similarity related to attribute implications, i.e. rules A rArr B describing dependencies "each object which has all attributes from A has also all attributes from B". We present several formulas for estimation of similarity of outputs in terms of similarity of inputs. The results answer some natural questions such as how much do truth degrees of A1 rArr B and A2 rArr B differ in terms of similarity of A1 to A2?
  • Keywords
    data analysis; fuzzy set theory; attribute implication; data tables; formal concept analysis; fuzzy attributes; Algebra; Clustering algorithms; Data analysis; Data mining; Fuzzy logic; Fuzzy sets; Globalization; Lattices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration, 2006 IEEE International Conference on
  • Conference_Location
    Waikoloa Village, HI
  • Print_ISBN
    0-7803-9788-6
  • Type

    conf

  • DOI
    10.1109/IRI.2006.252401
  • Filename
    4018478
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2753400