Research on Fuzzy Support Vector Machine Algorithms with Robust Noise Handling

This study integrates fuzzy membership functions with least squares support vector machines (LS-SVM) to mitigate the impact of outliers and noise, enhancing algorithmic robustness through weighted error handling mechanisms