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Automatic refinement method concept-base considering the rule between concepts and frequency of appearance as an attribute

机译:以概念和出现频率之间的规则为属性的基于概念的自动细化方法

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摘要

In order to make computers intelligent judgment such as a human being does, improvement in the quality of the Concept-base and of relevance evaluation between concepts is necessary. This paper proposes a method of deciding the weight of the attributes by reliability judgment of an attribute using the rule between concepts and frequency of appearance as an attribute. Moreover, reapplying of weight performs deletion of the unsuitable attributes in Concept-base. Finally, by the result of experiments using the degree of association that quantifies the depth of the relation between concepts, it is shown that the Concept-base constructed by the proposed method is effective.
机译:为了使计算机能够像人一样做出明智的判断,有必要提高概念库的质量以及概念之间的相关性评估。提出了一种以概念和出现频率之间的规则为属性,通过对属性的可靠性判断来确定属性权重的方法。此外,权重的重新应用会删除概念库中不合适的属性。最后,通过使用关联度量化概念之间关系深度的实验结果表明,该方法构造的概念库是有效的。

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