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Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox

Razak, Tajul Rosli; Chen, Chao; Garibaldi, Jonathan M.; Wagner, Christian

Authors

Tajul Rosli Razak

CHAO CHEN Chao.Chen@nottingham.ac.uk
Transitional Assistant Professor



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 Institute of Electrical and Electronics Engineers
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