Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space-Reference-Cited by-同舟云学术

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space

Published:2023-01 Issue:1 Volume:31 Page:213-225
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Wan Jihong¹^ORCID,Chen Hongmei¹^ORCID,Li Tianrui¹^ORCID,Sang Binbin¹,Yuan Zhong¹^ORCID

Affiliation:

1. School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Key R&D Project

Key Program for International S&T Cooperation of Sichuan Province

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/ielx7/91/10003087/09804219.pdf?arnumber=9804219

Reference44 articles.

1. Feature Interaction for Streaming Feature Selection