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.
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.
| Version: |
2.3.2 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
splines, shiny, plyr, grid, stats, graphics |
| Published: |
2021-05-19 |
| Author: |
Chao Chen [aut, cre],
Jon Garibaldi [aut],
Tajul Razak [aut] |
| Maintainer: |
Chao Chen <fuzzyr at cs.nott.ac.uk> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://www.lucidresearch.org/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
FuzzyR results |
Documentation:
Downloads:
Reverse dependencies:
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