In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.
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。
In inductive learning approach, how to discretize the sample data can directly affect the creation of the production rules and the recognizing result.
在归纳式学习方法中，对样本数据的不同分组会直接影响到所生成的反映变量间相互关系的规则，从而影响到对新样本的识别效果。
A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method.
将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。
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