Package: FuzzyR
Type: Package
Title: Fuzzy Logic Toolkit for R
Version: 2.3.2
Packaged: 2021-05-19 01:28:15 UTC; cc
Authors@R: c(
    person("Chao", "Chen", email = "fuzzyr@cs.nott.ac.uk", role = c("aut", "cre")),
    person("Jon", "Garibaldi", role = "aut"),
    person("Tajul", "Razak", role = "aut"))
Depends: R (>= 3.6.0)
Imports: splines, shiny, plyr, grid, stats, graphics
Description: 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.
License: GPL (>= 2)
URL: https://www.lucidresearch.org/
RoxygenNote: 7.1.1
NeedsCompilation: no
Encoding: UTF-8
Repository: CRAN
Date/Publication: 2021-05-19 09:00:05 UTC
Author: Chao Chen [aut, cre],
  Jon Garibaldi [aut],
  Tajul Razak [aut]
Maintainer: Chao Chen <fuzzyr@cs.nott.ac.uk>
Built: R 4.6.0; ; 2026-04-28 17:42:41 UTC; unix
