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 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 (SFMI v1.1.6) of the SFMI toolbox is available for download free of charge under GNU General Public License .

[ Download Now ]

If you use the toolbox please refer to it as follows:

Johanyák, Zs. Cs.: Sparse Fuzzy Model Identification Matlab Toolbox - RuleMaker (SFMI) Toolbox, IEEE 6th International Conference on Computational Cybernetics, November 27-29, 2008, Stara Lesná, Slovakia, pp. 69-74. [draft version]

An online HTML documentation and a dependency graph of FRIT's functions is also available here.

[Read online documentation]

An online HTML documentation and a dependency graph of SFMI's functions is also available here.

[Read online documentation]

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).

Unzip the files from the file SFMI_ToolBox.zip. It creates a folder named "SFMI_ToolBox_x_x_x". Add this directory and its subfolders to the Matlab search path (File menu/Seth Path...-->Add with Subfolders).

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

>>FRIT

and

>>TestIt

in the Matlab Command Window. Enjoy the program.

The individual functions can be reached that can be invoked with proper parameters. However, there is an easy-to-use GUI program that helps you trying the methods. They can be started by the command

>>SFMI

in the Matlab Command Window. Enjoy the program.