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GBFRVFL: Granular-Ball Computing-Based Fuzzy Random Vector Functional Link Network

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

In practical machine learning tasks, data are often contaminated with noise, outliers, and class imbalance, which can degrade the performance of conventional models. While random vector functional link (RVFL) networks offer fast training and strong generalization, they do not explicitly handle uncertainty or exploit local data structure. To address these limitations, we propose a fuzzy granular-ball random vector functional link (GBFRVFL) framework that leverages granular-ball computing to abstract raw samples into adaptive granular balls. Within this framework, we introduce two membership ass

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