摘要
分析了粗集理论的知识自动获取方法的基本原理和获取过程,研究了数据记录范化方法、属性归约算法、最小决策规则集的求解、规则提取方法,并给出了自动获取方法的实例。实例证明了该算法的有效性。
This paper analyzes the basic principle of automatic knowledge gaining method based on rough sets theory, introduces the automatic gaining process, and studies the method of data generalization, the concrete algorithm of the attribute reduction, solution of the smallest policy-making rule set and the method of decision-making rule. A concrete example is given about the knowledge＇s automatic gaining method. The example shows the method is effective and feasible.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第18期190-192,207,共4页
Computer Engineering
基金
国家自然科学基金资助项目(50275113)
陕西省教育厅产业化基金资助项目(04JC21)
关键词
粗糙集理论
知识自动获取
专家系统开发工具
属性归约
数据范化
rough sets theory
knowledge automatic gain
development tool of expert system
attribute reduction
data generalization
