【摘要】 用知识发现的思想来解决决策型工艺知识获取问题。定义了工艺决策数据表(PDDT)的概念,用它存储工艺决策数据样本,并基于CLS(Concept Learning System)算法提出了一种改进的工艺决策树学习算法,采用ID3(Itera-tive Dichotomizer 3)算法来度量工艺决策数据表中条件属性对于工艺决策规则的重要性,进而构建工艺决策树,提出了工艺决策树简化处理的原则以及转换为工艺决策规则的方法。更多还原

【Abstract】 The idea of Knowledge Discovery is used to solve the dificulty decision process knowledge acquisition.The concept of Process Decision Data Table(PDDT) is defined to store process data.An improved process decision tree learnning arithmetic is proposed,which is based on CLS.ID3 is used to measure the fundamentality of condition attribute to decision rules in PDDT.The principle of process decision tree predigestion and the method of translateing it to decision rules are given.更多还原