摘要
本文基于粗集理论,针对知识表达系统提出了一种新的归纳学习方法。对该方法中条件属性的简化进行了详细的讨论,并给出了一种具体的属性约简算法。其特点是简单、容易实现,考虑了属性值代表范围的合理性。
In the paper,we make a new inductive learning approach to knowledge representation system based on rough set theory. The reduction of conditional attributes is discussed in detail, and then a computing algorithm based on the reasonable division of the range of conditional attributes is suggested. Being simple and easily implemented are the main characters of the algorithm.
出处
《计算机应用与软件》
CSCD
北大核心
2002年第8期60-63,共4页
Computer Applications and Software
基金
云南省教委科研基金
云南省自然科学基金(编号:20033)
