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Type-2 Fuzzy Logic Systems in Applications: Managing Data in Selective Catalytic Reduction for Air Pollution Prevention Cover

Type-2 Fuzzy Logic Systems in Applications: Managing Data in Selective Catalytic Reduction for Air Pollution Prevention

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 2 (April 2021)
By: Adam Niewiadomski and  Marcin Kacprowicz  
Open Access
|Jan 2021
Authors

Authors

Adam Niewiadomski

Institute of Information Technology, Lodz University of Technology, Łódź, Poland

Marcin Kacprowicz

marcin.kacprowicz@mm.wloclawek.pl

Institute of Information Technology, Lodz University of Technology, Łódź, Poland
DOI: https://doi.org/10.2478/jaiscr-2021-0006
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Language: English
Page range: 85 - 97
Submitted on: Mar 26, 2020
Accepted on: Nov 5, 2020
Published on: Jan 29, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Selective Catalytic Reduction (SCR),
fuzzy management of DeNOx filter,
fuzzy logic systems,
”engineering” fuzzy implications,
learning fuzzy rules
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2021 Adam Niewiadomski, Marcin Kacprowicz, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 11 (2021): Issue 2 (April 2021)
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