摘要： 案例检索是基于案例推理系统的关键问题。为了在信息不完全的条件下提高故障案例匹配的准确度，将灰色关联分析应用到故障案例相似度的计算中，对灰色关联度公式进行改进，提出一种基于二次搜索策略的故障案例检索算法。对多种案例检索算法进行比较分析，结果表明该方法克服了传统方法确定相似度系数的主观性缺点，具有较好的分辨能力。

关键词: 灰色理论, 故障案例, 相似度, 灰色关联度

Abstract:

Case retrieval is an important issue of the Cased Based Reasoning(CBR). To improve the accuracy of case match with inadequacy information, the grey relational analysis is employed to calculate the case similarity, and the computation formula of grey relational degree is ameliorated. A new case retrieval algorithm based on two-step search strategy is proposed. The comparison of the different retrieval algorithms is reported. The result shows that this method has high discernment, and overcomes the limitation of the traditional method, which has more subjectivity in deciding the similarity coefficient.

Key words: grey theory, fault case, similarity, grey relational degree

中图分类号: 

• TP391.72