It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there are three classes, and labeled as 1, 2 and 3. The ANFIS outputs are not integer. For that reason the ANFIS outputs are rounded, and determined the class labels. But, sometimes, ANFIS can give 0 or 4...
This GUI demonstrates the use of fuzzy logic to control the steering of a car. Two sensors, one on each side of the car, detect the distances from the pavement, with which the "error" critereon is calculated. This, along with the change...
Comparison of Fuzzy Logic principles along with Fuzzy Type -2
Gui for washing Machine using fuzzy logic. this is a basic idea for Fuzzy system implementation.
The Fuzzy Relational Calculus Toolbox is companion software to the book Fuzzy Relational Calculus - Theory, Applications and Software (with CD-ROM) by Ketty Peeva & Yordan Kyosev, ISBN 981-256-076-9, Advances in Fuzzy Systems Applications and...
I have built the rules in simulink and not using the fuzzy logic toolbox.This controller is a two input one output fuzzy controller The first input is the error=x. The second input is the error_dot=y(time derivative of the error) The...
1) Std 2 in 1 out Fuzzy Controller , 2)semi-active suspension
EvalfisBetter simulates the Fuzzy Inference System for the input data and returns the output data. Its was develop to work with mandani FIS type. Its differ fron evalfis by using the rule weigth to do the exponencial of the consequent part of each...
The software includes MATLAB files implementing operations on nodes in fuzzy rule based networks as well as Word files illustrating the use of the m-files with the help of examples.
This software tool compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the...
Codes for fuzzy k means clustering, including k means with extragrades, Gustafson Kessel algorithm, fuzzy linear discriminant analysis. Performance measure is also calculated.
FuZZY - AUP Infraction Detection (AUPID), a network analyzer designed be an Acceptable Use Policy Infraction Detector (AUPID).
It allows Administrators to monitor a user's activies over the network.
Fuzzy Set implementation in Ruby. Currently allows generating only sets based on lines (eg. trapezoidal, triangular, etc.) and some simple inference (using Mandani or Larsen)
The Fuzzy is an Opensource project written using PHP programming. It is a tool which allows the Network or System Administrators to monitor and manage their user's activies over the network. The script is simple and very easy to customize. You can...
FuZZY is a network analyzer that is designed to act as an Acceptable Use Policy Infraction Detector (AUPID). It is a tool that will allow Network or System Administrators to monitor and manage their user's activies over the network. This includes...
Fuzzy searching is the tool for search string occurence with error. Under an error of search we accept an incongruity / exception / addition of the character
This fractal created by converting logic statements into equations using fuzzy logic operators:
X: X is as true as Y is true
Y: Y is as true as X is false
See: Scientific American Magazine, February 1993, "A...
This package contains the following files:
example.m: Illustrates how to use the function IT2FLS.
IT2FLS.m: Implements an interval type-2 fuzzy logic system.
A Brief Tutorial on Interval Type-2 Fuzzy Sets and...
Fuzzy control algorithm is used to control a three degree of freedom PUMA560 robot. The robot dynamics are taken from: Brian Armstrong, Oussama Khatib & Joel Burdick , d-deDUThe Explicit Dynamic Model and Inertial Parameters...
FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu's methold... |