I. Introduction
Rough SETS offer new approaches to machine learning, knowledge discovery in data, and knowledge support systems. Rough set theory has thus become an important basis for reasoning, inductive learning, and knowledge reduction. The rough set method (the rough set theory-based method) is a new discovery method for a data classification system that is used when there are different types of object data (any applicable knowledge-based data) whose attributes can be reduced and classified in order to provide comprehensive information.