摘要
提出了一种基于粗糙集理论和可辨识矩阵的改进型特征属性优化算法。该算法能更好地融入特征属性的背景知识和专家的经验知识,提高了案例检索效率。同时给出了该方法在通信装备故障诊断系统中的应用实例,验证了其有效性和准确性。
This paper presents an optimization algorithm for case properties based on rough set theory and discernible matrix. The knowledge of context and expert experience can be better syncretized with case properties. This method has high retrieval speed, and the instance for fault diagnosis of communication equipment is made to test the method, running result shows the validity and veracity of the method.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第1期190-192,共3页
Microelectronics & Computer
关键词
案例推理
故障诊断
可辨识矩阵
粗糙集
case reasoning
fault diagnosis
discernible matrix
rough set
