![[short description]](../../_private/images/sdescription.jpg)
![[homepage]](../../_private/images/homepagee.jpg)
An intuitive graphical environment for designing intelligently controlled systems
The Fuzzy Logic Toolbox features a simple point-and-click interface that
guides you effortlessly through the steps of fuzzy design, from setup to
diagnosis. It provides built-in support for the latest fuzzy logic methods,
such as fuzzy clustering and adaptive neuro-fuzzy learning. The Toolbox's
interactive graphics let you instantly visualize and fine tune system behavior.
Features
- Define variables, fuzzy rules, and membership functions
- Interactively view fuzzy output surface and inference process
- Advanced methods: Adaptive neuro-fuzzy inference systems (ANFIS), fuzzy
clustering, and Sugenoinferencing
- Standalone fuzzy engine for batch testing
- Interactive dynamic simulation with SIMULINK
- Portable C code generation through Real-Time Workshop®
Highlights
Easy to Use. The Fuzzy Logic Toolbox is designed to help
you rapidly master fuzzy logic and apply it to practical problems. For
users already familiar with fuzzy logic, the Toolbox supplies advanced
methods as well as the flexibility to create custom solutions.
Graphical Design. The Fuzzy Logic Toolbox contains five
graphical editors that present the information you need to work through
the essential tasks in the fuzzy system design process.
Advanced Techniques. The Fuzzy Logic Toolbox offers advanced
fuzzy modeling techniques, including:
- Adaptive neuro-fuzzy inference systems (ANFIS) for shaping membership functions
automatically by training them with input data
- Fuzzy C-means and subtractive clustering for pattern recognition applications
- Choice of the widely used Mamdani method or the powerful Sugeno inferencing
method for the creation of hybrid fuzzy systems
Integrated Simulation and Code Generation. The Toolbox is
designed to work seamlessly with the SIMULINK dynamic simulation environment.
Through Real-Time Workshop, you can generate ANSI C code for real-time
prototyping and implementation.
Standalone Fuzzy Engine. Your fuzzy system design can
be saved in ASCII format for use outside the MATLAB environment. The Toolbox
supplies an efficient fuzzy inference engine that can execute your fuzzy
system either as a standalone program or as part of an external application.
Stefan Steinhaus, webmaster@steinhaus-net.de