Fuzzy Logic Tools  v1.0.5.1
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matlab_utilities/fuz2mat.cpp

MEX file that extracts all data from a fuzzy model.

MATLAB help:

% FUZ2MAT Extracts all data from a fuzzy model.
%
% Vector = fuz2mat(Fuzzy_Model)
%
% Vector = fuz2mat(Fuzzy_Model,Output,Rule)
%
% [Vector, length] = fuz2mat(Fuzzy_Model)
%
% [Vector, length] = fuz2mat(Fuzzy_Model,Output,Rule)
%
% Arguments:
%
% Vector -> Vector with data from fuzzy model.
%
% Output -> Use to select the output.
%
% Rule -> Use to select the rule for given output.
%
% length -> The length of Vector, 0 if error.
%
% Fuzzy_Model -> This model could be a '.txt' file, a '.fis' file or a
% 'FIS' variable from MATLAB Workspace.
%
% See also activation, antec2mat, aproxjac, aproxlinear, conseq2mat, fis2txt,
% fuzcomb, fuzeval, fuzjac, fuzlinear, fuzprint, mat2antec, mat2conseq,
% mat2fuz, fuzsubsystem, txt2fis

Source code:

/* Copyright (C) 2004-2011
ANTONIO JAVIER BARRAGAN, antonio.barragan@diesia.uhu.es
http://uhu.es/antonio.barragan
Collaborators:
JOSE MANUEL ANDUJAR, andujar@diesia.uhu.es
MARIANO J. AZNAR, marianojose.aznar@alu.uhu.es
DPTO. DE ING. ELECTRONICA, DE SISTEMAS INFORMATICOS Y AUTOMATICA
ETSI, UNIVERSITY OF HUELVA (SPAIN)
For more information, please contact with authors.
This software is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This software is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "aux_matlab.hpp"
using namespace FLT;
using namespace TNT;
void mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
size_t i, length, out, rule;
double *data;
if(nrhs<1)
ERRORMSG(E_NumberArgIn)
if (nrhs>1)
{
if (nrhs!=3)
ERRORMSG(E_NumberArgIn)
if (mxGetM(prhs[1])>1 || mxGetM(prhs[2])>1)
ERRORMSG(E_RuleOutputFileVector)
if (mxGetN(prhs[1])!=mxGetN(prhs[2]))
ERRORMSG(E_NumberArg)
}
if (nlhs>2)
ERRORMSG(E_NumberArgOut)
if (mxIsEmpty(prhs[0]) || mxIsNaN(*mxGetPr(prhs[0])))
ERRORMSG(E_ArgNoValid)
System S;
if (readModel(prhs[0],S))
ERRORMSG(E_Model)
size_t NoC = S.inputs() + 1;
if (nrhs==1)
{
}
else
{
length = 0;
for (i=0;i<mxGetN(prhs[2]);i++)
{
out = ((size_t)*(mxGetPr(prhs[1])))-1; // MATLAB is index-1 but C/C++ is index-0
rule = ((size_t)*(mxGetPr(prhs[2])))-1;
size_t numAntec = S.readRule(out, rule)->NumberOfAntecedents();
length += numAntec + NoC;
}
}
Array1D<double> Data(length);
if (nrhs==1)
{
Array1D<double> AntecData = S.getAntecedents();
Array1D<double> ConseqData = S.getConsequents();
for (size_t d=0;d<AntecData.dim();d++)
Data[d] = AntecData[d];
for (size_t d=0;d<ConseqData.dim();d++)
Data[AntecData.dim()+d] = ConseqData[d];
}
else
{
size_t dataIdx = 0;
for (i=0;i<mxGetN(prhs[2]);i++)
{
out = ((size_t)*(mxGetPr(prhs[1])))-1; // MATLAB is index-1 but C/C++ is index-0
rule = ((size_t)*(mxGetPr(prhs[2])))-1;
Rule *R = S.readRule(out,rule);
Array1D<double> AntecData = R->getAntecedents();
for (size_t d=0;d<AntecData.dim();d++, dataIdx++)
Data[dataIdx] = AntecData[d];
Array1D<double> ConseqData = R->getConsequents();
for (size_t d=0;d<ConseqData.dim();d++, dataIdx++)
Data[dataIdx] = ConseqData[d];
}
}
plhs[0] = mxCreateDoubleMatrix(length,1,mxREAL);
double *MATLABData = mxGetPr(plhs[0]);
for (i=0; i<length; i++)
MATLABData[i] = Data[i];
if (nlhs==2)
plhs[1] = mxCreateDoubleScalar(length);
if (length==0)
{
if (nlhs==1)
ERRORMSG(E_Acquire)
else
plhs[0] = mxCreateDoubleMatrix(0,0,mxREAL); // Empty matrix
}
}