The OCTAVE Fuzzy Rule Interpolation (OCTFRI) Toolbox is an open-source toolbox for OCTAVE programming language, providing a large functionally compatible subset of the MATLAB FRI toolbox as well as many extensions. The goal of this paper is to introduce some details of the adaptation of the FRI toolbox to support the GNU/OCTAVE programming language.
The first FRI toolbox being able to handle different FRI methods was developed by Johanyak et. This cases the fuzzy model contains only the most relevant rules, without covering all the antecedent universes. Fuzzy control systems based on the Fuzzy Rule Interpolation (FRI) concept play a major role in different platforms, in case if only a sparse fuzzy rule-base is available. In most fuzzy control applications (applying classical fuzzy reasoning), the reasoning method requires a complete fuzzy rule-base, i.e all the possible observations must be covered by the antecedents of the fuzzy rules, which is not always available. For uses in teaching, the similarity of its syntax with Matlab will likely make textbook instructions directly applicable, and we thus recommend consideration of Octave for this purpose, though the particular assignments of each course will need to be tested in detail. Therefore, for uses in research, Octave's maturity and resulting richness of functions make it a viable alternative to Matlab.
#Freemat key free#
Another reason to consider Octave is that free parallel computing extensions are available that are known to work with this package. Based on these tests, we conclude that GNU Octave is the most compatible with Matlab due to its numerical abilities and the similarity of its syntax. The available graphical functions differ in functionality, but give equivalent plots, though FreeMat has limited three-dimensional graphics capabilities at present. All packages gave identical numerical results, though Scilab exhibited a limitation in the size of the linear system it could solve in the complex test problem and FreeMat was hampered by the lack of a conjugate gradient function.
Then, we compare the results we receive from GNU Octave, FreeMat, and Scilab to our previously found Matlab results. In addition, we research a more complex test problem resulting from a finite difference discretization of the Poisson equation in two spatial dimensions. Are these packages viable alternatives to Matlab for uses in research or teaching? We review in depth the basic operations of Matlab, such as solving a system of linear equations, com-puting eigenvalues and eigenvectors, and plotting in two-dimensions.
#Freemat key mac os x#
Unlike Matlab, the other three packages are free of charge to the user and easily available to download to Linux, Windows, or Mac OS X operating systems.
GNU Octave, FreeMat, and Scilab are other numerical computational packages that have many of the same features as Matlab.
#Freemat key software#
The commercial software package Matlab is the most widely used numerical compu-tational package.
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