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.

Version: 2.3.2
Depends: R (≥ 3.6.0)
Imports: splines, shiny, plyr, grid, stats, graphics
Published: 2021-05-19
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

Downloads:

Reference manual: 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-release (x86_64): FuzzyR_2.3.2.tgz, r-oldrel: FuzzyR_2.3.2.tgz
Old sources: FuzzyR archive

Reverse dependencies:

Reverse imports: FSMUMI, fsr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FuzzyR to link to this page.