Multi-Label Takagi-Sugeno-Kang Fuzzy System-Reference-Cited by-同舟云学术

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Multi-Label Takagi-Sugeno-Kang Fuzzy System

Published:2021 Issue: Volume: Page:1-1
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Lou Qiongdan,Deng Zhaohong,Xiao Zhiyong,Choi Kup-Sze,Wang Shitong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/4358784/09551800.pdf?arnumber=9551800

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection;Knowledge-Based Systems;2024-09

2. Takagi–Sugeno–Kang Fuzzy Systems for High-Dimensional Multilabel Classification;IEEE Transactions on Fuzzy Systems;2024-06

3. A Robust Multilabel Method Integrating Rule-Based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

4. Multiple fault recognition for chemical processes based on TSK-type neural networks with nonlinear consequences;Granular Computing;2023-12-18

5. Double groups of gates based Takagi-Sugeno-Kang (DG-TSK) fuzzy system for simultaneous feature selection and rule extraction;Fuzzy Sets and Systems;2023-10

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