实例推理检索中相似度量方法的研究

On the method of similarity measurement in retrieval of CBR

在实例推理检索过程中 ,通过相似特征度量方法完成最相似实例检索 ,采用粗集理论判断实例特征属性的重要性 ,把最反映本质的相似特征属性用来进行相似度量 ,使度量结果比较客观地反映出实例和待解问题的相似程度 ,提高了实例检索的准确性。

In this paper, the method of calculating the similarity degree between the new problem and similar case is discussed. This method is used to retrieve the most similar case in the similarity case database.The rough set theory is applied to find out the redundant feature attributes and calculate the importance degree of each feature attribute. The results objectively reveal the similarity degree between the new problem and similar case, and the accuracy of case retrieval is improved.