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Knowledge representation using fuzzy deduction graphs

机译:使用模糊演绎图的知识表示

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A new knowledge representation model, known as fuzzy deduction graph (FDG), is introduced in this paper. An FDG can represent a knowledge base containing the fuzzy propositions and fuzzy rules. In an FDG, a systematic method of finding the fuzzy reasoning path (FRP) is given which is based on Dijkstra's shortest path framework. The FRP gives a relationship between the antecedent (source) proposition and consequent (goal) proposition, such that the consequent proposition is reached with the greatest fuzzy value. The process of finding the FRP is illustrated with examples,.
机译:介绍了一种新的知识表示模型,即模糊演绎图(FDG)。 FDG可以表示包含模糊命题和模糊规则的知识库。在FDG中,给出了一种基于Dijkstra最短路径框架的系统的模糊推理路径(FRP)的查找方法。 FRP给出了先行(源)命题和后继(目标)命题之间的关系,从而以最大的模糊值达到了后继命题。举例说明了查找FRP的过程。

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