| Autor: |
Anna Czmil, Jacek Kluska, Sylwester Czmil |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
SoftwareX, Vol 22, Iss , Pp 101362- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2023.101362 |
| Popis: |
In this work, we present a Python-based implementation of an extremely simple classifier (GPR), which combines gene expression programming (GEP) features and the algebraic representation of the ’if-then’ fuzzy rules theory of the Takagi–Sugeno fuzzy inference system. Generated fuzzy metarules are highly interpretable and suitable for many applications. We provide an open-source Python implementation of the GPR algorithm to enable the use of the algorithm without any commercial software tools and open access to the research community. We also added enhancements to improve the readability and interpretability of the rules. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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