Transactions on Cybernetics
KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi–Sugeno–Kang Fuzzy Classifiers
While input or output-perturbation-based adversarial training techniques have been exploited to enhance the generalization capability of a variety of nonfuzzy and fuzzy classifiers by means of dynamic regularization, their performance may perhaps be ve…