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.

Getting started

Package details

AuthorChao Chen [aut, cre], Jon Garibaldi [aut], Tajul Razak [aut]
MaintainerChao Chen <fuzzyr@cs.nott.ac.uk>
LicenseGPL (>= 2)
URL https://www.lucidresearch.org/
Package repositoryView on CRAN
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FuzzyR documentation built on May 19, 2021, 9:06 a.m.