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Performance Analysis of Rough Set–Based Hybrid Classification Systems in the Case of Missing Values Cover

Performance Analysis of Rough Set–Based Hybrid Classification Systems in the Case of Missing Values

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 4 (October 2021)
By: Robert K. Nowicki,  Robert Seliga,  Dariusz Żelasko and  Yoichi Hayashi  
Open Access
|Oct 2021

Authors

Robert K. Nowicki

robert.nowicki@pcz.pl

Department of Intelligent Computer Systems, Czestochowa University of Technology, Czestochowa, Poland

Robert Seliga

Management Department, University of Social Science, Lodz, Poland
Clark University

Dariusz Żelasko

Faculty of Computer Science and Telecommunications, Cracow University of Technology, Krakow, Poland

Yoichi Hayashi

Department of Computer Science, Meiji University, Japan
DOI: https://doi.org/10.2478/jaiscr-2021-0018
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Language: English
Page range: 307 - 318
Submitted on: Jan 7, 2021
|
Accepted on: Jul 23, 2021
|
Published on: Oct 8, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
rough sets,
support vector machines,
fuzzy systems,
neural networks
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2021 Robert K. Nowicki, Robert Seliga, Dariusz Żelasko, Yoichi Hayashi, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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