It is proved in the experiment that in this way, superfluous knowledge can be removed easily, symptoms can be reduced and a corresponding rule can be extracted. 实验证明:用此方法能有效地去除冗余信息,对其症状进行约简提炼,从而获取简单而又能体现症状与病征的规则。
Its purpose is to reduce superfluous attributes value to make the rule set more generalizable on the condition that it keeps classification capacity of the rule set. 它的目的就是在保持规则集的分类能力的条件下,删除多余属性值,进一步简化规则集。