摘要
传统实例检索模型缺乏对不确定环境中不精确信息的适应性。采用构造因果网络的分阶段实例检索模型，则可以有效地处理实例检索中的不精确性，并能提高基于实例推理系统的性能。
Traditional retrieval models of the case-based reasoning system lack of the adaptation to the imprecise information in uncertainty environment. An step case retrieval model based on imprecise information is proposed through constructing the causal network . The model not only can process the imprecise information in the case retrieval, but also can improve the performance of the case-based reasoning system.
出处
《计算机工程与应用》
CSCD
北大核心
2000年第5期86-87,91,共3页
Computer Engineering and Applications
基金
国家863高科技项目基金!863-306-04-03-1B
关键词
实例检索
不精确信息
可信度
CBR
钻井过程
Case-Based Reasoning
Case Retrieval
Imprecise information
Certainty Degree
