In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
Furthermore, a new algorithm for rule extraction based on decision matrices was presented. And much more concise decision rules could be got with this method.
同时，借助决策矩阵进行值约简，提出了一种新的规则提取算法，使最终得到的决策规则更加简洁。
Finally, a heuristic algorithm for rules extraction of decision tree was designed.
以新的属性重要性为启发式信息设计决策树规则提取方法。
Missing data filling and rules extraction in incomplete decision table are two important data mining problems.
不完全信息系统中遗失数据的补充和规则的提取，一直是数据挖掘技术面临的重要问题。
Missing data filling and rules extraction in incomplete decision table are two important data mining problems.
不完全信息系统中遗失数据的补充和规则的提取，一直是数据挖掘技术面临的重要问题。
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