Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox
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...
| 出版年: | IEEE International Conference on Fuzzy Systems |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110871136&doi=10.1109%2fFUZZ45933.2021.9494485&partnerID=40&md5=0c7bc4a18bfc9c6c7f765f78f9bedcba |
| 要約: | 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. © 2021 IEEE. |
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| ISSN: | 10987584 |
| DOI: | 10.1109/FUZZ45933.2021.9494485 |