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
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

Documentation:

Reference manual:

FuzzyR.pdf

Downloads:

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

Linking:

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