• DocumentCode
    2270083
  • Title

    Inference method for natural language propositions involving fuzzy quantifiers in FLINS

  • Author

    Okamoto, Wataru ; Tano, Shun´ichi ; Iwatani, Toshiharu ; Inoue, Atsushi

  • Author_Institution
    Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    2082
  • Abstract
    We propose an inference method necessary for constructing a natural language communication system called FLINS (Fuzzy Lingual System). We show that for natural language propositions involving fuzzy quantifiers, for example “Most tall men are heavy”, we can infer a modified proposition “Many tall men are very heavy”, where the fuzzy quantifier “Many” in the inferred proposition can be resolved analytically. Generally, for natural language propositions involving three types of quantifiers, a monotone nonincreasing type (FEW, ...), a monotone nondecreasing type (MOST, ...) and a triangular type (SEVERAL, ...), we can resolve fuzzy quantifiers analytically for inferred propositions
  • Keywords
    computational linguistics; fuzzy logic; inference mechanisms; natural languages; FLINS; fuzzy lingual system; fuzzy quantifiers; inference method; monotone type; natural language propositions; Buildings; Databases; Engines; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Laboratories; Natural languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343544
  • Filename
    343544