首页> 外文会议>Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on >Inference method for natural language propositions involving fuzzy quantifiers in FLINS
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Inference method for natural language propositions involving fuzzy quantifiers in FLINS

机译:FLINS中涉及模糊量词的自然语言命题的推理方法

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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.
机译:我们提出了一种构建称为FLINS(模糊语言系统)的自然语言通信系统所必需的推理方法。我们表明,对于涉及模糊量词的自然语言命题,例如“大多数高个子男人很重”,我们可以推断出一个修饰的命题“许多高个子男人很重”,其中可以解析推断的命题中的模糊量词“很多”。分析地。通常,对于涉及三种量词的自然语言命题,单调非递增型(FEW,...),单调非递减型(MOST,...)和三角型(SEVERAL,...),我们可以解析模糊量词分析性地推断出命题。

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