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FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language

Chen, Chao; Razak, Tajul Rosli; Garibaldi, Jonathan M.

Authors

CHAO CHEN Chao.Chen@nottingham.ac.uk
Assistant Professor

Tajul Rosli Razak



Abstract

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such as FuzzyToolkitUoN. Whilst keeping existing functionalities of the previous toolboxes, the main extension in the FuzzyR toolbox is the capability of optimising type-1 and interval type-2 fuzzy inference systems based on an extended ANFIS architecture. An accuracy function is also added to provide performance indicators featuring eight alternative accuracy measures, including a new measure UMBRAE. In addition, graphical user interfaces have been provided so that the properties of a fuzzy inference system can be visualised and manipulated, which is particularly useful for teaching and learning. Note that this paper illustrates some of the new features of the FuzzyR toolbox, but does not provide a complete list of all functions available. More details about the new features of FuzzyR and a complete description of all functions can be found in the manual of the toolbox.

Conference Name 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Conference Location Glasgow, UK
Start Date Jul 19, 2020
End Date Jul 24, 2020
Online Publication Date Aug 26, 2020
Publication Date 2020-07
Deposit Date Dec 2, 2021
Publisher Institute of Electrical and Electronics Engineers
Pages 1-8
Book Title 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
ISBN 9781728169330
DOI https://doi.org/10.1109/fuzz48607.2020.9177780
Public URL https://nottingham-repository.worktribe.com/output/6847317
Publisher URL https://ieeexplore.ieee.org/document/9177780