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FuzzyR  

Fuzzy Logic Toolkit for R
View on CRAN: Click here


Download and install FuzzyR package within the R console
Install from CRAN:
install.packages("FuzzyR")

Install from Github:
library("remotes")
install_github("cran/FuzzyR")

Install by package version:
library("remotes")
install_version("FuzzyR", "2.3.2")



Attach the package and use:
library("FuzzyR")
Maintained by
Chao Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-28
Latest Update: 2021-05-19
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 when using it. More related papers can be found in the NEWS.
How to cite:
Chao Chen (2016). FuzzyR: Fuzzy Logic Toolkit for R. R package version 2.3.2, https://cran.r-project.org/web/packages/FuzzyR. Accessed 22 Dec. 2024.
Previous versions and publish date:
2.0 (2016-09-28 08:34), 2.1 (2017-03-24 20:17), 2.2 (2019-11-12 15:30), 2.3.1 (2021-01-18 20:20), 2.3 (2019-11-20 22:30)
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