Computer Science
8 years ago

New algorithm simplifies decision-making process, boosting efficiency and effectiveness.

Journal of Sichuan University
Incremental Attribute Reduction Based on Simplified Discernibility Matrix
Chuanjian Yang

Paper Summary

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The article introduces a new method for updating decision tables by simplifying the discernibility matrix. This method helps to reduce attributes in a decision table effectively. The researchers showed that the attribute reduction obtained from this method is equivalent to the traditional method. By analyzing different scenarios, they developed an algorithm for incremental attribute reduction. The algorithm was tested and proven to be efficient and effective in reducing attributes in decision tables.