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Adversarial knowledge augmentation based learning for enhancing interpretable fuzzy-rule-based classification

delete2026-07-30
delete0
PRE
AI
M
Maosen Long
F
Fu-Lai Chung
S
Shitong Wang *
DOI：10.1016/j.knosys.2026.116775delete
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摘要

摘要

En 中文
• 受高级认知研究启发的对抗性知识增强（KA2）。• 提出一种可解释的模糊分类器TSK2A2，通过KA2提升精度。• 提供一种新颖的可解释的基于AND-NOT算子的增强模糊规则。• 开发了一种基于KA2的快速对抗训练方法以增强TSK2A2。• TSK2A2在精度、可解释性和效率方面具有卓越的权衡。
Keyword:
Adversarial training
Interpretable fuzzy rules
Knowledge augmentation
TSK fuzzy classifiers

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

H
hong kong polytechnic university
学者数:
3.0W
论文数: 4.1W
被引数: 921
J
jiangnan university
学者数:
8.8K
论文数: 2.4K
被引数: 0
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