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Old 06-07-2009, 01:09 PM
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Default Artificial Intelligence-Fuzzy Logic Matlab

Artificial Intelligence-Fuzzy Logic Matlab



English | PDF | 208 Pages | 1.51 MB

What Is the Fuzzy Logic Toolbox?
The Fuzzy Logic Toolbox is a collection of functions built on the MATLABŪ numeric computing environment. It provides tools for you to create and edit fuzzy inference systems within the framework of MATLAB, or if you prefer you can integrate your fuzzy systems into simulations with SimulinkŪ, or you can even build stand-alone C programs that call on fuzzy systems you build with MATLAB. This toolbox relies heavily on graphical user interface (GUI) tools to help you accomplish your work, although you can work entirely from the command line if you prefer. The toolbox provides three categories of tools:
•Command line functions
•Graphical, interactive tools
•Simulink blocks and examples
The first category of tools is made up of functions that you can call from the command line or from your own applications. Many of these functions are MATLAB M-files, series of MATLAB statements that implement specialized fuzzy logic algorithms. You can view the MATLAB code for these functions using the statement type function_name You can change the way any toolbox function works by copying and renaming the M-file, then modifying your copy. You can also extend the toolbox by adding your own M-files. Secondly, the toolbox provides a number of interactive tools that let you access many of the functions through a GUI. Together, the GUI- based tools provide an environment for fuzzy inference system design, analysis, and implementation. The third category of tools is a set of blocks for use with the Simulink simulation software. These are specifically designed for high speed fuzzy logic inference in the Simulink environment.

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