Tajul Rosli Razak
Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox
Razak, Tajul Rosli; Chen, Chao; Garibaldi, Jonathan M.; Wagner, Christian
Authors
CHAO CHEN Chao.Chen@nottingham.ac.uk
Transitional Assistant Professor
Prof. JONATHAN GARIBALDI JON.GARIBALDI@NOTTINGHAM.AC.UK
Provost and Pvc Unnc
CHRISTIAN WAGNER Christian.Wagner@nottingham.ac.uk
Professor of Computer Science
Abstract
The use of Hierarchical Fuzzy Systems (HFS) has been well acknowledged as a good approach in reducing the complexity and improving the interpretability of fuzzy logic systems (FLS). Over the past years, many fuzzy logic toolkits have been made available for type-1, interval type-2 and general type-2 fuzzy logic systems under different programming languages. However, it is still challenging for people, especially for those who are not expert in fuzzy systems or programming, to build models based on HFSs. The main reason could be the lack of practical tools and examples of using HFSs. This paper presents a step-by-step guide to the implementation of an HFS with the open-source toolbox, FuzzyR, utilising the R Programming Language.
Citation
Razak, T. R., Chen, C., Garibaldi, J. M., & Wagner, C. (2021). Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ45933.2021.9494485
Conference Name | 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
---|---|
Conference Location | Luxembourg, Luxembourg |
Start Date | Jul 11, 2021 |
End Date | Jul 14, 2021 |
Online Publication Date | Aug 5, 2021 |
Publication Date | Jul 11, 2021 |
Deposit Date | Dec 2, 2021 |
Publisher | IEEE |
Book Title | 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
ISBN | 9781665444088 |
DOI | https://doi.org/10.1109/FUZZ45933.2021.9494485 |
Public URL | https://nottingham-repository.worktribe.com/output/6847309 |
Publisher URL | https://ieeexplore.ieee.org/document/9494485 |
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