Fuzzy Set Theory: a Useful Interlingua?

نویسندگان

  • Chris Cornelis
  • Martine De Cock
  • Etienne Kerre
چکیده

The practice, common in fuzzy expert systems, to map linguistic data into fuzzy sets has some important reverse implications: given membership functions that represent different terms of a linguistic variable in one natural language , we can set out to search which of them best matches a given term in another language , on the basis of similarity assessments between individual terms. In other words, we are considering fuzzy set theory as an interlingua for use in automated translation. Our approach is applied to data gathered in an International Annoyance Scaling Study.

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تاریخ انتشار 2001