• DocumentCode
    1653896
  • Title

    Aggregating Fuzzy QL-Implications

  • Author

    Kreps Benitez, Ibero Camilo ; Hax Sander Reiser, Renata ; Yamin, A.C. ; Bedregal, Benjamin

  • Author_Institution
    PPGC-CDTEC, Univ. Fed. de Pelotas, Pelotas, Brazil
  • fYear
    2013
  • Firstpage
    121
  • Lastpage
    128
  • Abstract
    This paper presents the fuzzy (S, N- and QL- subimplication classes, which is obtained by a distributive n-ary aggregation operation performed over the families T of t-subnorms and S t-subconorms along with a fuzzy negation. Since these classes of sub implications are explicitly represented by t-subconorms and t-subnorms which are characterized by generalized associativity, the corresponding (S, N)-and QL-sub implications referred as IS, N and IS, T, N, are characterized by distributive n-ary aggregation together with related generalizations as the exchange and neutrality principles. Additionally, we discuss two subclasses of (S, N)-and QL-sub implication classes, which are obtained by the median aggregation operation performed over the standard negation Ns together with the families of TP and SP of t-subnorms and t-subconorms, respectively. In particular, the subclass TP extends the product t-norm TP as well as SP extends the algebraic sum SP. As the main results, the family of sub implications ISP, N and ISP, TP, N extends the implication by preserving the corresponding properties.
  • Keywords
    fuzzy logic; distributive n-ary aggregation operation; exchange principles; fuzzy QL-implication aggregation; fuzzy negation; generalized associativity; median aggregation operation; neutrality principles; subimplication classes; t-subconorms; Aggregates; Boundary conditions; Computer science; Fuzzy logic; Indexes; Probabilistic logic; Standards; fuzzy (sub)implication; fuzzy t-sub(co)norm; median aggregation function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Theoretical Computer Science (WEIT), 2013 2nd Workshop-School on
  • Conference_Location
    Rio Grande
  • Type

    conf

  • DOI
    10.1109/WEIT.2013.11
  • Filename
    6778577