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Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study

机译:基于规则的分类器中特定类别的归约与经典归约:一个案例研究

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In Rough Set Theory, reducts are minimal subsets of attributes that retain the ability of the whole set of attributes to discern objects belonging to different classes. On the other hand, class-specific reducts allow discerning objects belonging to a specific class from all other classes. This latest type of reduct has been little studied. Here we show, through a case study, some advantages of using class-specific reducts instead of classic ones in a rule-based classifier. Our results show that it is worthwhile to deepen in the study of this issue.
机译:在粗糙集理论中,约简是属性的最小子集,保留了整个属性集辨别属于不同类的对象的能力。另一方面,特定于类的归约允许从所有其他类中区分属于特定类的对象。对于这种最新的还原方法,人们鲜有研究。在这里,我们通过案例研究显示了在基于规则的分类器中使用特定于类的还原而不是经典归类的一些优点。我们的结果表明,有必要对这一问题进行深化研究。

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