Noise-aware and correlation analysis-based for fuzzy-rough feature selection-Reference-Cited by-同舟云学术

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Noise-aware and correlation analysis-based for fuzzy-rough feature selection

Published:2024-02 Issue: Volume:659 Page:120047
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Haiqing^ORCID,Yu Xi,Li Tianrui^ORCID,Li Daiwei^ORCID,Tang Dan,He Lei

Funder

Science and Technology Department of Sichuan Province

Chengdu University of Information Technology

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. A noise-aware fuzzy rough set approach for feature selection;Yang;Knowl.-Based Syst.,2022

2. A novel feature selection method using fuzzy rough sets;Sheeja;Comput. Ind.,2018

3. A fuzzy rough set-based feature selection method using representative instances;Zhang;Knowl.-Based Syst.,2018

4. Probability granular distance-based fuzzy rough set model;An;Appl. Soft Comput.,2021

5. Feature selection with fuzzy-rough minimum classification error criterion;Wang;IEEE Trans Fuzzy Syst,2021

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