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A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data

  • Published:2020-02 Issue:2 Volume:28 Page:361-375
  • ISSN:1063-6706
  • Container-title:IEEE Transactions on Fuzzy Systems
  • language:
  • Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Gu SuhangORCID,Nojima YusukeORCID,Ishibuchi HisaoORCID,Wang ShitongORCID

Funder

National Natural Science Foundation of China

NSFC-JSPS

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

National First-Class Discipline Program of Light Industry and Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 12 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. Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

2. Improvement Method of College Students' Physical Training Decision-Making Based on Fuzzy Analytic Hierarchy Process;International Journal of Web-Based Learning and Teaching Technologies;2024-02-14

3. Fuzzy style flat-based clustering;Information Sciences;2023-10

4. An Adaptive Divergence-Based Non-Negative Latent Factor Model;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-10

5. Style-constrained Takagi-Sugeno-Kang Fuzzy Classifier;2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT);2023-04-28
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