| public GetLabelMembership ( string labelName, float value ) : float | ||
| labelName | string | Label (fuzzy set) to evaluate value's membership. |
| value | float | Value which label's membership will to be calculated. |
| Résultat | float | |
public void SetInput2()
{
this.Power = new LinguisticVariable("Moc_samochodu", 20, 180);
TrapezoidalFunction function1 = new TrapezoidalFunction(40, 100, TrapezoidalFunction.EdgeType.Right);
FuzzySet set1 = new FuzzySet("mała", function1);
TrapezoidalFunction function2 = new TrapezoidalFunction(70, 100, 130);
FuzzySet set2 = new FuzzySet("średnia", function2);
TrapezoidalFunction function3 = new TrapezoidalFunction(100, 160, TrapezoidalFunction.EdgeType.Left);
FuzzySet set3 = new FuzzySet("duża", function3);
Power.AddLabel(set1);
Power.AddLabel(set2);
Power.AddLabel(set3);
database.AddVariable(Power);
double y1;
double y2;
double y3;
for (float x = 20; x < 180; x += 0.5f)
{
if (Power.GetLabelMembership("mała", x + 0.5f) + Power.GetLabelMembership("mała", x) > 0)
{
y1 = Power.GetLabelMembership("mała", x);
chart5.Series["Mała"].Points.AddXY(x, y1);
}
if (Power.GetLabelMembership("średnia", x + 0.5f) + Power.GetLabelMembership("średnia", x) > 0)
{
y2 = Power.GetLabelMembership("średnia", x);
chart5.Series["Średnia"].Points.AddXY(x, y2);
}
if (Power.GetLabelMembership("duża", x + 0.5f) + Power.GetLabelMembership("duża", x) > 0)
{
y3 = Power.GetLabelMembership("duża", x);
chart5.Series["Duża"].Points.AddXY(x, y3);
}
}
}
public void SetInput1()
{
this.Temp_opon = new LinguisticVariable("Temperatura", 0, 180);
TrapezoidalFunction function1 = new TrapezoidalFunction(30, 90, TrapezoidalFunction.EdgeType.Right);
FuzzySet set1 = new FuzzySet("zimne", function1);
TrapezoidalFunction function2 = new TrapezoidalFunction(70, 90, 110);
FuzzySet set2 = new FuzzySet("średnie", function2);
TrapezoidalFunction function3 = new TrapezoidalFunction(90, 150, TrapezoidalFunction.EdgeType.Left);
FuzzySet set3 = new FuzzySet("gorące", function3);
Temp_opon.AddLabel(set1);
Temp_opon.AddLabel(set2);
Temp_opon.AddLabel(set3);
database.AddVariable(Temp_opon);
double y1;
double y2;
double y3;
for (float x = 0; x < 180; x += 0.5f)
{
if (Temp_opon.GetLabelMembership("zimne", x + 0.5f) + Temp_opon.GetLabelMembership("zimne", x) > 0)
{
y1 = Temp_opon.GetLabelMembership("zimne", x);
chart4.Series["Zimne"].Points.AddXY(x, y1);
}
if (Temp_opon.GetLabelMembership("średnie", x + 0.5f) + Temp_opon.GetLabelMembership("średnie", x) > 0)
{
y2 = Temp_opon.GetLabelMembership("średnie", x);
chart4.Series["Średnie"].Points.AddXY(x, y2);
}
if (Temp_opon.GetLabelMembership("gorące", x + 0.5f) + Temp_opon.GetLabelMembership("gorące", x) > 0)
{
y3 = Temp_opon.GetLabelMembership("gorące", x);
chart4.Series["Gorące"].Points.AddXY(x, y3);
}
}
}
// Testing basic funcionality of linguistic variables
private void runLingVarTestButton_Click( object sender, EventArgs e )
{
ClearDataSeries( );
// create a linguistic variable to represent temperature
LinguisticVariable lvTemperature = new LinguisticVariable( "Temperature", 0, 80 );
// create the linguistic labels (fuzzy sets) that compose the temperature
TrapezoidalFunction function1 = new TrapezoidalFunction( 10, 15, TrapezoidalFunction.EdgeType.Right );
FuzzySet fsCold = new FuzzySet( "Cold", function1 );
TrapezoidalFunction function2 = new TrapezoidalFunction( 10, 15, 20, 25 );
FuzzySet fsCool = new FuzzySet( "Cool", function2 );
TrapezoidalFunction function3 = new TrapezoidalFunction( 20, 25, 30, 35 );
FuzzySet fsWarm = new FuzzySet( "Warm", function3 );
TrapezoidalFunction function4 = new TrapezoidalFunction( 30, 35, TrapezoidalFunction.EdgeType.Left );
FuzzySet fsHot = new FuzzySet( "Hot", function4 );
// adding labels to the variable
lvTemperature.AddLabel( fsCold );
lvTemperature.AddLabel( fsCool );
lvTemperature.AddLabel( fsWarm );
lvTemperature.AddLabel( fsHot );
// get membership of some points to the cool fuzzy set
double[][,] chartValues = new double[4][,];
for ( int i = 0; i < 4; i++ )
chartValues[i] = new double[160, 2];
// showing the shape of the linguistic variable - the shape of its labels memberships from start to end
int j = 0;
for ( float x = 0; x < 80; x += 0.5f, j++ )
{
double y1 = lvTemperature.GetLabelMembership( "Cold", x );
double y2 = lvTemperature.GetLabelMembership( "Cool", x );
double y3 = lvTemperature.GetLabelMembership( "Warm", x );
double y4 = lvTemperature.GetLabelMembership( "Hot", x );
chartValues[0][j, 0] = x;
chartValues[0][j, 1] = y1;
chartValues[1][j, 0] = x;
chartValues[1][j, 1] = y2;
chartValues[2][j, 0] = x;
chartValues[2][j, 1] = y3;
chartValues[3][j, 0] = x;
chartValues[3][j, 1] = y4;
}
// plot membership to a chart
chart.UpdateDataSeries( "COLD", chartValues[0] );
chart.UpdateDataSeries( "COOL", chartValues[1] );
chart.UpdateDataSeries( "WARM", chartValues[2] );
chart.UpdateDataSeries( "HOT", chartValues[3] );
}
public void SetOutput()
{
this.Risk = new LinguisticVariable("Ryzyko", 0, 30);
TrapezoidalFunction function1 = new TrapezoidalFunction(5, 10, TrapezoidalFunction.EdgeType.Right);
FuzzySet set1 = new FuzzySet("niskie", function1);
TrapezoidalFunction function2 = new TrapezoidalFunction(5, 10, 15);
FuzzySet set2 = new FuzzySet("średnio_niskie", function2);
TrapezoidalFunction function3 = new TrapezoidalFunction(10, 15, 20);
FuzzySet set3 = new FuzzySet("średnie", function3);
TrapezoidalFunction function4 = new TrapezoidalFunction(15, 20, 25);
FuzzySet set4 = new FuzzySet("średnio_wysokie", function4);
TrapezoidalFunction function5 = new TrapezoidalFunction(20, 25, TrapezoidalFunction.EdgeType.Left);
FuzzySet set5 = new FuzzySet("wysokie", function5);
Risk.AddLabel(set1);
Risk.AddLabel(set2);
Risk.AddLabel(set3);
Risk.AddLabel(set4);
Risk.AddLabel(set5);
database.AddVariable(Risk);
double y1;
double y2;
double y3;
double y4;
double y5;
for (float x = 0; x < 30; x += 0.05f)
{
if (Risk.GetLabelMembership("niskie", x + 0.05f) + Risk.GetLabelMembership("niskie", x) > 0)
{
y1 = Risk.GetLabelMembership("niskie", x);
chart6.Series["Niskie"].Points.AddXY(x, y1);
}
if (Risk.GetLabelMembership("średnio_niskie", x + 0.05f) + Risk.GetLabelMembership("średnio_niskie", x) > 0)
{
y2 = Risk.GetLabelMembership("średnio_niskie", x);
chart6.Series["Śr_nisk"].Points.AddXY(x, y2);
}
if (Risk.GetLabelMembership("średnie", x + 0.05f) + Risk.GetLabelMembership("średnie", x) > 0)
{
y3 = Risk.GetLabelMembership("średnie", x);
chart6.Series["Średnie"].Points.AddXY(x, y3);
}
if (Risk.GetLabelMembership("średnio_wysokie", x + 0.05f) + Risk.GetLabelMembership("średnio_wysokie", x) > 0)
{
y4 = Risk.GetLabelMembership("średnio_wysokie", x);
chart6.Series["Śr_wys"].Points.AddXY(x, y4);
}
if (Risk.GetLabelMembership("wysokie", x + 0.05f) + Risk.GetLabelMembership("wysokie", x) > 0)
{
y5 = Risk.GetLabelMembership("wysokie", x);
chart6.Series["Wysokie"].Points.AddXY(x, y5);
}
}
}
