A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning-Reference-Cited by-同舟云学术

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A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning

Published:2024-09 Issue:9 Volume:32 Page:5098-5108
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Hu Xingchen¹^ORCID,Zhu Xiubin²^ORCID,Yang Lan²^ORCID,Pedrycz Witold³^ORCID,Li Zhiwu⁴^ORCID

Affiliation:

1. College of Systems Engineering, National University of Defense Technology, Changsha, China

2. School of Electro-Mechanical Engineering, Xidian University, Xi'an, China

3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

4. Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/91/10665743/10553282.pdf?arnumber=10553282

Reference37 articles.

1. Identification of Fuzzy Rule-Based Models With Collaborative Fuzzy Clustering

2. Fuzzy Rule-Based Local Surrogate Models for Black-Box Model Explanation

3. Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier

4. Designing rule-based fuzzy systems for classification in medicine

5. A Fuzzy-Based Approach to Enhance Cyber Defence Security for Next-Generation IoT

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1. A Review on Federated Learning Architectures for Privacy-Preserving AI: Lightweight and Secure Cloud–Edge–End Collaboration;Electronics;2025-06-20

2. Z-Number Generation Model and Its Application in a Rule-Based Classification System;IEEE Transactions on Cybernetics;2025-05

3. Machine Learning-Based Classification of Productive Systems: A Framework for Operational Optimisation;Operations Research Forum;2025-02-24

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