基于案例推理的RCM分析系统中案例检索研究

Study on case retrieval of case-based RCM analysis system

为了在信息不完全的条件下提高智能化RCM分析系统中案例检索的快速性和精确性,将灰色关联理论应用到RCM分析案例检索的相似度计算中,并结合RCM分析案例的主要构成及其特点,提出一种模板检索与灰关联相似度分析相结合的二次搜索策略,利用实例对二次搜索策略和传统方法进行了比较分析,结果表明,该方法能够克服传统方法确定相似度系数的主观性缺点,可以实现RCM分析案例的精确检索,并具有较好的分辨能力。

To improve the case retrieving quickness and accuracy of intelligent RCM analysis system with inadequacy information,the gray theory is employed to calculate the RCM analysis case similarity.Combined with RCM analysis of main composition and characteristics case,a new two-step search strategy based on template retrieval and grey relational similarity analysis is proposed.Finally,example shows that this methods have high accuracy,and overcomes the limitation of the traditional methods,which has more subjectivity in deciding the similarity coefficient.