The Role of Synonymy and Antonymy in ’Natural’ Fuzzy Prolog

摘要: The aim of this paper is to attempt a first approach kind ‘natural Fuzzy Prolog’ based on the linguistic relations synonymy and antonymy. Traditionally, Prolog was associated clausal logic, disposition classical logic in which goals are conjectural theorems answers, provided by interpreter, achieved using resolution unification. Both unification core interpreter. Classical has had still currently interesting applications domains as natural language processing where problems verbalized crisp algorithmic style. But Zadeh pointed out, essentially ill-defined or vague. provides tools for dealing with tasks that involve vague imprecise statements approximate reasoning. fuzzy related specification facts rules matter degree. Degrees adopted several forms: single degrees, intervals degrees truth-values, represented triangular trapezoidal numbers. solutions valuable, but far from way employed human beings solve daily problems. Using naive style, introduces deals applying antonymy negation match predicates similar meanings.