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

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.