An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution-Reference-Cited by-同舟云学术

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution

Published:2023-02 Issue:1 Volume:7 Page:76-88
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Xu Weihua¹^ORCID,Yuan Kehua¹^ORCID,Li Wentao¹^ORCID,Ding Weiping²^ORCID

Affiliation:

1. College of Artificial Intelligence, Southwest University, Chongqing, China

2. School of Information Science and Technology, Nantong University, Nantong, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Key Foundation of Jiangsu Education Department

Scientific and Technological Project of Construction of Double City Economic Circle in Chengdu-Chongqing Area

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

Reference35 articles.

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