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FuzzyR: Fuzzy Logic Toolkit for R
Design and simulate fuzzy logic systems using Type-1 and Interval Type-2 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro- fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group (IMA) and Lab for UnCertainty In Data and decision making (LUCID), University of Nottingham. A big thank you to the many people who have contributed to the development/evaluation of the toolbox. Please cite the toolbox and the corresponding paper <doi:10.1109/FUZZ48607.2020.9177780> when using it. More related papers can be found in the NEWS.
Getting started
Browse package contents
Package details |
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| Author | Chao Chen [aut, cre], Jon Garibaldi [aut], Tajul Razak [aut] |
| Maintainer | Chao Chen <fuzzyr@cs.nott.ac.uk> |
| License | GPL (>= 2) |
| Version | 2.3.2 |
| URL | https://www.lucidresearch.org/ |
| Package repository | View on CRAN |
| Installation |
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