也就是说，对所有的决策类，它考虑了规则的加权平均支持度。
In another words, it considers the weighted average support of the rules for all decision classes.
提出了一种基于决策属性支持度的属性相对约简算法。
A kind of attribute relative reduction for decision attribute support degree was proposed.
通过对规则支持度提出新的定义，对现有的模型进行了扩展，并由此提出了一种新的决策规则挖掘算法，实验结果表明了其有效性。
This paper gives the rule-support degree a new definition, extends present models and brings forward an algorithm of mining weighted-decision-rules, the result of the experiment shows its effectivity.
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