The article discusses how to simplify complex data by focusing on reducing attribute values in variable precision rough set theory. Instead of just looking at overall attribute reduction, the researchers suggest directly reducing specific attribute values to avoid missing important information. By analyzing the nature of reduction and the significance of value reduction in this theory, they introduce a new algorithm for direct value reduction.