FuzzyR: Fuzzy Logic Toolkit for R

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: 2.1
Depends: R (≥ 3.0.0)
Imports: splines, shiny, plyr
Published: 2017-03-24
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_2.1.tar.gz
Windows binaries: r-devel: FuzzyR_2.1.zip, r-release: FuzzyR_2.1.zip, r-oldrel: FuzzyR_2.1.zip
OS X El Capitan binaries: r-release: FuzzyR_2.1.tgz
OS X Mavericks binaries: r-oldrel: FuzzyR_2.1.tgz
Old sources: FuzzyR archive


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