This article discusses how the rough sets theory can help analyze data for decision-making. By using this theory, unnecessary information can be removed from data, leading to the creation of a decision algorithm. This algorithm can then be used to classify new information accurately. The researchers also suggest using "the nearest" rules to support this classification process.