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.

Documentation

Manual: FuzzyR.pdf
Vignette: None available.

Maintainer: Jon Garibaldi <fuzzyr at cs.nott.ac.uk>

Author(s): Jon Garibaldi, Chao Chen, Tajul Razak

Install package and any missing dependencies by running this line in your R console:

install.packages("FuzzyR")

Depends R (>= 3.0.0)
Imports splines, shiny, plyr
Suggests
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package FuzzyR
Materials
URL http://ima.ac.uk
Task Views
Version 2.1
Published 2017-03-24
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks FuzzyR check results
Package source FuzzyR_2.1.tar.gz