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35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices) were benchmarked across ten datasets from the UCI Machine Learning Repository. The evaluation, conducted by Ömer Karakoç and last updated in May 2026, used metrics like accuracy, precision, recall, specificity, and F1-score, with statistical significance confirmed via Friedman and Nemenyi tests. The dataset, shared under a CC-BY-4.0 license, identifies top-performing algorithms such as A19 and YHX14.
The dataset is very small (9.5 KB), indicating limited scope, likely containing summary results rather than raw data.