A robust approach to attribute reduction based on double fuzzy consistency measure-Reference-Cited by-同舟云学术

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A robust approach to attribute reduction based on double fuzzy consistency measure

Published:2022-10 Issue: Volume:253 Page:109585
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Guo Yanting,Hu Meng,Wang Xizhao,Tsang Eric C.C.,Chen Degang,Xu Weihua

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. Rough fuzzy sets and fuzzy rough sets;Dubois;Int. J. General Syst.,1990

2. Fuzzy-rough attribute reduction via mutual information with an application to cancer classification;Xu;Comput. Math. Appl.,2009

3. Feature selection for gene expression using model-based entropy;Zhu;IEEE/ACM Trans. Comput. Biol. Bioinform.,2010

4. Fuzzy-rough sets for information measures and selection of relevant genes from microarray data;Maji;IEEE Trans. Cybern.,2010

5. Parallel computing techniques for concept-cognitive learning based on granular computing;Niu;Int. J. Mach. Learn. Cybern.,2018

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