Fuzzy Granular-Ball Computing Framework and Its Implementation in SVM. (arXiv:2210.11675v1 [cs.LG])

Most existing fuzzy computing methods use points as input, which is the
finest granularity from the perspective of granular computing. Consequently,
these classifiers are neither efficient nor robust to label noise. Therefore,
we propose a framework for a fuzzy granular-ball computational classifier by
introducing granular-ball computing into fuzzy set. The computational framework
is based on the granular-balls input rather than points; therefore, it is more
efficient and robust than traditional fuzzy methods. Furthermore, the framework
is extended to the fuzzy …

arxiv computing framework implementation svm