• DocumentCode
    3384490
  • Title

    On syntactical and semantical approaches to similarity-based approximate reasoning

  • Author

    Esteva, Francesc ; Garcia-Calves, P. ; Godo, Lluís

  • Author_Institution
    Inst. d´´Investigacio en Intel-Iigencia Artificial (111A), CSIC, Barcelona, Spain
  • Volume
    3
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    1598
  • Abstract
    In this paper, we survey and compare two different logical approaches to similarity-based approximate reasoning that have been proposed recently in the literature. The first one, that may be named "syntactical", is based on attaching similarity degrees directly to pairs of propositions. Such an approach has been followed mainly by M. Ying (1994) and G. Gerla et al. (1998, 2000). A second approach, that may be named "semantical", proposes to attach a similarity relation to a set of possible worlds rather than to propositions. This approach has its roots in works on approximate truth, or "truthlikeness", by I. Niiniluoto (1987), T. Weston (1987) and others in the 1980s, and more recently by E. Ruspini (1991)
  • Keywords
    inference mechanisms; uncertainty handling; approximate truth; logical approaches; possible worlds; proposition pairs; semantical approach; similarity degrees; similarity relation; similarity-based approximate reasoning; syntactical approach; truthlikeness; Fuzzy logic; Joining processes; Multivalued logic; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943788
  • Filename
    943788