Fuzzy Rule Interpolation Matlab Toolbox |
Fuzzy Rule Interpolation C++ ToolBox |
FIVE implementation in Python |
Download |
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The current version (FRIT v1.1.13) of the FRI toolbox is available for
download free of charge under GNU
General Public License
.
[
Download Now
]
If you use the
Matlab toolbox please refer to it as follows:
Z. C. Johanyák, D. Tikk, S. Kovács, K. W. Wong: "Fuzzy Rule Interpolation Matlab Toolbox – FRI Toolbox," Proc. of the IEEE World Congress on Computational Intelligence (WCCI'06), 15th Int. Conf. on Fuzzy Systems (FUZZ-IEEE'06), July 16--21, 2006, Vancouver, BC, Canada, pp. 1427-1433, Omnipress. [Bibtex] [ draft pdf ] |
The current version of the
toolbox is available for
download free of charge under GNU
General Public License
.
[
Download Now
]
If you use the C++ toolbox please refer to it as follows:
Zoltan Krizsan, Szilveszter Kovacs: Native Developer Toolbox Library for Sparse Fuzzy Rule Based System, Scientific Bulletin of the Politehnica University of Timisoara - Transactions on Electronics and Communications, Vol.58 No.1, Timisoara, pp. , 2013, accepted for publication [draft version (accepted for publication)] |
The current version of the
Python implementation is available for
download free of charge under GNU
General Public License
.
[
Download Now
]
If you use the
Python implementation please refer to it as follows:
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Online documentation |
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Installation instructions |
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Unzip the files from the file FRIT_ToolBox.zip.
It creates a folder named "FRIT_ToolBox_x_x_x". Add
this directory and its subfolders to the
Matlab search path (File menu/Seth Path...-->Add with Subfolders).
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Starting the program |
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The individual FRI methods can be reached as functions that can be
invoked with proper parameters.
However, there are two easy-to-use GUI programs that help you
to try the methods. They can be started by the command
>>FRITand >>TestIt in the Matlab Command Window. Enjoy the program. |
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