New algorithm preserves data accuracy in attribute reduction process.
The article introduces a new method for reducing attributes in decision tables, focusing on the rough boundary region. This method aims to maintain the original structure of the data while reducing complexity. By using this approach, the researchers developed an efficient algorithm that was shown to be effective in both theory and practice.
