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.
| Version: | 2.3.2 |
| Depends: | R (≥ 3.6.0) |
| Imports: | splines, shiny, plyr, grid, stats, graphics |
| Published: | 2021-05-19 |
| DOI: | 10.32614/CRAN.package.FuzzyR |
| Author: | Chao Chen [aut, cre], Jon Garibaldi [aut], Tajul Razak [aut] |
| Maintainer: | Chao Chen <fuzzyr at cs.nott.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.lucidresearch.org/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | FuzzyR results |
| Reference manual: | FuzzyR.html , FuzzyR.pdf |
| Package source: | FuzzyR_2.3.2.tar.gz |
| Windows binaries: | r-devel: FuzzyR_2.3.2.zip, r-release: FuzzyR_2.3.2.zip, r-oldrel: FuzzyR_2.3.2.zip |
| macOS binaries: | r-release (arm64): FuzzyR_2.3.2.tgz, r-oldrel (arm64): FuzzyR_2.3.2.tgz, r-release (x86_64): FuzzyR_2.3.2.tgz, r-oldrel (x86_64): FuzzyR_2.3.2.tgz |
| Old sources: | FuzzyR archive |
Please use the canonical form https://CRAN.R-project.org/package=FuzzyR to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.