A Functional Tool for Fuzzy First Order Logic Evaluation

نویسندگان

  • J. MIGUEL CLEVA
  • VICTORIA LÓPEZ
  • JAVIER MONTERO
چکیده

In this paper we present an automatic evaluation tool for fuzzy first order logic formulas. Since different semantics can be considered for every logical symbol, we allow for such formulas the appearance of syntactic modifiers, in such away that our tool is designed not only to evaluate formulas in existing fuzzy semantics, but also to evaluate the properties in any other semantic framework given by the user. Such generalization is performed using Haskell functional programming language.

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تاریخ انتشار 2005