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.

Version: 2.3
Depends: R (≥ 3.6.0)
Imports: splines, shiny, plyr, grid
Published: 2019-11-20
Author: Chao Chen, Jon Garibaldi, Tajul Razak
Maintainer: Chao Chen <fuzzyr at cs.nott.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.lucidresearch.org
NeedsCompilation: no
Materials: NEWS
CRAN checks: FuzzyR results


Reference manual: FuzzyR.pdf
Package source: FuzzyR_2.3.tar.gz
Windows binaries: r-devel: FuzzyR_2.3.zip, r-release: FuzzyR_2.3.zip, r-oldrel: FuzzyR_2.3.zip
macOS binaries: r-release: FuzzyR_2.3.tgz, r-oldrel: FuzzyR_2.3.tgz
Old sources: FuzzyR archive

Reverse dependencies:

Reverse imports: FSMUMI


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