Design and simulate fuzzy logic systems using Type 1 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, University of Nottingham.
| Version: | 2.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | splines, shiny, plyr |
| Published: | 2016-09-28 |
| Author: | Jon Garibaldi, Chao Chen, Tajul Razak |
| Maintainer: | Jon Garibaldi <fuzzyr at cs.nott.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://ima.ac.uk |
| NeedsCompilation: | no |
| CRAN checks: | FuzzyR results |
| Reference manual: | FuzzyR.pdf |
| Package source: | FuzzyR_2.0.tar.gz |
| Windows binaries: | r-devel: FuzzyR_2.0.zip, r-release: FuzzyR_2.0.zip, r-oldrel: FuzzyR_2.0.zip |
| OS X Mavericks binaries: | r-release: FuzzyR_2.0.tgz, r-oldrel: FuzzyR_2.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=FuzzyR to link to this page.