摘要
结合工艺设计领域特点，探讨知识密集情况下分类决策知识的获取方法，提出了基于最小特征子集和实例归纳的方法以及动态分类策略，给出了重合度的概念，以衡量聚类质量标准．
Linking up with the fcature of process planning field,a acquirement method of elassified decision knowledge under the dense knowledge eircumstances is studied. A method based on minimum feature subset and a strategy of dynamic gradation is put forward. In addition,the conception of confidence degree is given to judge the quality standard of gradation.
基金
山东省科委资助项目
