摘要
引入多知识库的概念,运用基于粗糙集理论的数据挖掘技术给出多知识库决策融合的分类识别方法,并以拉深模具为例,将其应用于模具质量评价和诊断,提高模具质量控制决策的可靠性和准确性.
With the introduction of the concept of Multiple Knowledge Base, the author makes use of data mining techniques based on the Rough Set theory to devise the method of the classification and identification of decision fusion of the multiple knowledge hase. As illustrated by a drawing die, the method can be applied to die quality evaluation and diagnosis, hence the reliability and accuracy of die quality control.
出处
《南京工程学院学报(自然科学版)》
2006年第4期40-45,共6页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
南京工程学院科研基金项目(KXJ06015)
关键词
多知识库
粗糙集
决策矩阵
multiple knowledge base
rough set
decision matrix