anfis.L4.eval

output.L3

<p>The membership grades of the membership functions of nodes in Layer 4</p>

output.L4.mf

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.

Jon Garibaldi

FuzzyR

Fuzzy Logic Toolkit for R

Chao Chen

Tajul Razak

anfis.L4.eval function

The evaluator for nodes in Layer 4 — anfis.L4.eval

The evaluator for nodes in Layer 4

anfis.L4.eval: The evaluator for nodes in Layer 4

Description

Usage

Arguments

Value

Details