Package: FuzzyR
Type: Package
Title: Fuzzy Logic Toolkit for R
Version: 2.3.2
Packaged: 2026-10-13 13:35:59 UTC; root
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
Author: Chao Chen [aut, cre], Jon Garibaldi [aut], Tajul Razak [aut]
Maintainer: Chao Chen <fuzzyr@cs.nott.ac.uk>
Repository: https://cran.r-universe.dev
Date/Publication: 2021-05-19 08:00:05 UTC
RemoteUrl: https://github.com/cran/FuzzyR
RemoteRef: HEAD
RemoteSha: 9cc8853d055c08356d073a3572e0a2f24840f6b1