摘要
对基于事例推理系统中事例相似度评估方法存在若干问题进行探讨，采用对事例匹配过程及几种匹配函数进行研究和分析的方法，认为当前常用的匹配函数在支持不良结构决策领域的ＣＢＲ系统中并不十分有效，因此必须寻求一种有效的事例相似度评估方法来改善此类ＣＢＲ系统的事例检索性能．
The purpose of this paper is to discuss on some problems about assessing case similarity in case--based reasoning systems. Through researching and analyzing of case matching process and several matching functions, the authors find that these widely used matching functions don't work effectively in those CBR systems that support ill-structured decision problems. Therefore, it is necessary to look for an effective method in order to improve case retrieval performance in such CBR systems.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2000年第4期441-445,共5页
Journal of Xiamen University：Natural Science
基金
国家自然科学基金!(79770036)
