On Distance-Based Attribute Reduction With α, β-Level Intuitionistic Fuzzy Sets
Attribute reduction, often referred to as feature selection, is a vital step in data preprocessing aimed at eliminating unnecessary attributes and enhancing the efficiency of classification models.Intuitionistic fuzzy sets are widely acknowledged for their highly effective approach to the attribute reduction problem in decision tables, especially i