字计算的模糊演绎图模型

Pragya Shukla, S. Tokekar, Suresh Jain
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引用次数: 0

摘要

提出了一种基于模糊演绎图(FDG)的词计算模型。如何表示和推理包含模糊词的规则的问题在FDG模型中得到了解决。前提被假定为用自然语言表达为命题。我们把带有确定性因素的规则称为模糊规则。然后,利用模糊逻辑中的推理规则将约束从前提传播到结论。受Cao和Chen[5]基于模糊Petri网的词计算模型的启发,我们开发了基于FDG的模型。然后将这个概念应用于语言量词推理。
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A Fuzzy Deduction Graph Model for Computing with Words
This paper presents a model of computing with words using fuzzy deduction graph (FDG). The issue of how to represent and reason about rules containing words that is fuzzy in its nature is addressed in the FDG model. The premises are assumed to be expressed as propositions in a natural language. We refer to fuzzy rules as the rules with certainty factors. Then, the rules of inference in fuzzy logic are employed to propagate the constraints from premises to conclusions. Motivated by Cao and Chen [5] model of computing with words on fuzzy Petri nets, we have developed the model on FDG. This concept is then applied to reasoning with linguistic quantifiers.
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