/// <summary>
/// Defuzzifies the specified relation returning a crisp value for the specified inputs.
/// </summary>
/// <param name="relation">Fuzzy Relation to defuzzify</param>
/// <param name="inputs">Set of specified values for particular dimensions. There must be exactly one dimesion missing. This dimension will be used as the output dimension.</param>
public Defuzzification(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs)
{
_relation = relation;
if (inputs.Count < _relation.Dimensions.Length - 1) throw new ArgumentException(String.Format("Number of dimensions must be bigger than n-1, where n={0} is the total number of dimensions used in the relation.", relation.Dimensions.Length), "inputs");
List<IDimension> dims = _relation.Dimensions.ToList<IDimension>();
foreach (KeyValuePair<IDimension, System.Decimal> input in inputs)
{
//if (!dims.Contains(input.Key))
// throw new ArgumentException(String.Format("Dimension \"{0}\" does not exists in this relation.", input.Key), "inputs");
if (dims.Contains(input.Key))
dims.Remove(input.Key);
}
if (dims.Count > 1) throw new ArgumentException("There is more than one unspecified dimension left.", "inputs");
if (dims.Count == 0) throw new ArgumentException("There are no unspecified dimensions left. The output function would be a constanct which can be obtained easier using the IsMember() method.", "inputs");
_inputs = inputs;
_outputDimension = dims[0];
if (_outputDimension is IDiscreteDimension)
throw new ArgumentException(String.Format("Continuous dimension expected as output dimension. Dimension \"{0}\" is discrete.", _outputDimension.Name));
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="deffuzification">Relation wrapped in a deffuzification. In this case, the hierarchy will also contain information about applied deffuzification.</param>
public TreeSource(Defuzzification deffuzification)
{
_relation = deffuzification.Relation;
_deffuzification = deffuzification;
_inputs = deffuzification.Inputs;
_variableDimension = deffuzification.OutputDimension;
}
internal RSS(FuzzyRelation subrelation1, FuzzyRelation subrelation2)
{
_subrelation1 = subrelation1;
_subrelation2 = subrelation2;
_rssDescendantCount = 2;
if (_subrelation1 is NodeFuzzyRelation && ((NodeFuzzyRelation)_subrelation1).Operator is RSS)
{
_operand1Power = false; //powers have been created in subrelation
_rssDescendantCount += ((RSS)((NodeFuzzyRelation)_subrelation1).Operator).RssDescendantCount - 1;
}
else
{
_operand1Power = true;
}
if (_subrelation2 is NodeFuzzyRelation && ((NodeFuzzyRelation)_subrelation2).Operator is RSS)
{
_operand2Power = false; //powers have been created in subrelation
_rssDescendantCount += ((RSS)((NodeFuzzyRelation)_subrelation2).Operator).RssDescendantCount - 1;
}
else
{
_operand2Power = true;
}
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="deffuzification">Relation wrapped in a deffuzification. In this case, the hierarchy will also contain information about applied deffuzification.</param>
public TreeSource(Defuzzification deffuzification)
{
_relation = deffuzification.Relation;
_deffuzification = deffuzification;
_inputs = deffuzification.Inputs;
_variableDimension = deffuzification.OutputDimension;
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="relation">Fuzzy relation to represent as a hierarchical list</param>
/// <param name="inputs">Set of specified values for particular dimensions.</param>
/// <param name="variableDimension">Dimension which should be put on the x-axis. Null if we don't want to display graphs, or if we only want to display graphs for single-diemnsional sets.</param>
public TreeSource(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
_inputs = inputs;
_variableDimension = variableDimension;
treeView_AfterSelect_EventHandler = new TreeViewEventHandler(treeView_AfterSelect);
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="relation">Fuzzy relation to represent as a hierarchical list</param>
/// <param name="inputs">Set of specified values for particular dimensions.</param>
/// <param name="variableDimension">Dimension which should be put on the x-axis. Null if we don't want to display graphs, or if we only want to display graphs for single-diemnsional sets.</param>
public TreeSource(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
_inputs = inputs;
_variableDimension = variableDimension;
treeView_AfterSelect_EventHandler = new TreeViewEventHandler(treeView_AfterSelect);
}
internal RSS(FuzzyRelation subrelation1, FuzzyRelation subrelation2)
{
_subrelation1 = subrelation1;
_subrelation2 = subrelation2;
_rssDescendantCount = 2;
if (_subrelation1 is NodeFuzzyRelation && ((NodeFuzzyRelation)_subrelation1).Operator is RSS)
{
_operand1Power = false; //powers have been created in subrelation
_rssDescendantCount += ((RSS)((NodeFuzzyRelation)_subrelation1).Operator).RssDescendantCount - 1;
}
else
{
_operand1Power = true;
}
if (_subrelation2 is NodeFuzzyRelation && ((NodeFuzzyRelation)_subrelation2).Operator is RSS)
{
_operand2Power = false; //powers have been created in subrelation
_rssDescendantCount += ((RSS)((NodeFuzzyRelation)_subrelation2).Operator).RssDescendantCount - 1;
}
else
{
_operand2Power = true;
}
}
/// <summary>
/// Creates new instance of image just to display a single-dimensional fuzzy set without any values specified.
/// </summary>
/// <param name="singleDimensionalSet">Single-dimensional set to display</param>
public RelationImage(FuzzySet singleDimensionalSet)
{
_inputs = new Dictionary<IDimension, decimal> { };
_relation = singleDimensionalSet;
_variableDimension = singleDimensionalSet.Dimensions[0];
_fullySpecified = false;
_specifiedMembership = null;
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="deffuzification">Relation wrapped in a deffuzification. In this case, the hierarchy will also contain information about applied deffuzification.</param>
public TreeSource(FuzzyFramework.Defuzzification.Defuzzification deffuzification)
{
_relation = deffuzification.Relation;
_deffuzification = deffuzification;
_inputs = deffuzification.Inputs;
_variableDimension = deffuzification.OutputDimension;
treeView_AfterSelect_EventHandler = new TreeViewEventHandler(treeView_AfterSelect);
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="deffuzification">Relation wrapped in a deffuzification. In this case, the hierarchy will also contain information about applied deffuzification.</param>
public TreeSource(FuzzyFramework.Defuzzification.Defuzzification deffuzification)
{
_relation = deffuzification.Relation;
_deffuzification = deffuzification;
_inputs = deffuzification.Inputs;
_variableDimension = deffuzification.OutputDimension;
treeView_AfterSelect_EventHandler = new TreeViewEventHandler(treeView_AfterSelect);
}
/// <summary>
/// Creates new instance of image just to display a single-dimensional fuzzy set without any values specified.
/// </summary>
/// <param name="singleDimensionalSet">Single-dimensional set to display</param>
public RelationImage(FuzzySet singleDimensionalSet)
{
_inputs = new Dictionary <IDimension, decimal> {
};
_relation = singleDimensionalSet;
_variableDimension = singleDimensionalSet.Dimensions[0];
_fullySpecified = false;
_specifiedMembership = null;
}
private void Awake()
{
m_Car = GetComponent <CarController>();
inputSpeed = new ContinuousDimension("", "", "", -100, 180);
backwardSpeed = new RightQuadraticSet(inputSpeed, "", -100, -10, 0);
zeroSpeed = new BellSet(inputSpeed, "", 0, 5, 10);
lowSpeed = new QuadraticSet(inputSpeed, "", 10, 40, 0, 50, 5, 45);
//private FuzzySet medSpeed;
highSpeed = new LeftQuadraticSet(inputSpeed, "", 40, 45, 50);
inputSideBoundDistance = new ContinuousDimension("", "", "", -10, 10);
dangerousRight = new LeftQuadraticSet(inputSideBoundDistance, "", 0, 9, 10);
dangerousLeft = new RightQuadraticSet(inputSideBoundDistance, "", -10, -9, 0);
safe = new TrapezoidalSet(inputSideBoundDistance, "", -5, 5, -7, 7);
inputFrontBoundDistance = new ContinuousDimension("", "", "", 0, 150);
far = new LeftLinearSet(inputFrontBoundDistance, "", 20, 40);
close = new TrapezoidalSet(inputFrontBoundDistance, "", 15, 20, 10, 25);
dangerousClose = new RightLinearSet(inputFrontBoundDistance, "", 10, 15);
outputGas = new ContinuousDimension("", "", "", -100, 100);
pedalToMetal = new LeftQuadraticSet(outputGas, "", 0, 80, 100);
clutch = new SingletonSet(outputGas, "", 0);
brake = new RightLinearSet(outputGas, "", -100, 0);
outputBrakes = new ContinuousDimension("", "", "", 0, 1);
outputAction = new DiscreteDimension("", "");
outputSteeringWheel = new ContinuousDimension("", "", "", -100, 100);
turnLeft = new RightLinearSet(outputSteeringWheel, "", -100, 0);
turnRight = new LeftLinearSet(outputSteeringWheel, "", 0, 100);
forward = new TriangularSet(outputSteeringWheel, "", 0, -10, 10);
simpleSteeringRules =
(dangerousLeft & turnRight) |
(dangerousRight & turnLeft) |
(safe & forward);
simpleGasRules =
(far & pedalToMetal) |
((close & lowSpeed) & clutch) |
((close & highSpeed) & brake) |
((close & zeroSpeed) & brake) |
(dangerousClose & brake);
}
void Calc()
{
#region Definitions
//Definition of dimensions on which we will measure the input values
ContinuousDimension height = new ContinuousDimension("Height", "Personal height", "cm", 100, 250);
ContinuousDimension weight = new ContinuousDimension("Weight", "Personal weight", "kg", 30, 200);
//Definition of dimension for output value
ContinuousDimension consequent = new ContinuousDimension("Suitability for basket ball", "0 = not good, 5 = very good", "grade", 0, 5);
//Definition of basic fuzzy sets with which we will work
// input sets:
FuzzySet tall = new LeftLinearSet(height, "Tall person", 170, 185);
FuzzySet weighty = new LeftLinearSet(weight, "Weighty person", 80, 100);
// output set:
FuzzySet goodForBasket = new LeftLinearSet(consequent, "Good in basket ball", 0, 5);
//Definition of antedescent
FuzzyRelation lanky = tall & !weighty;
//Implication
FuzzyRelation term = (lanky & goodForBasket) | (!lanky & !goodForBasket);
#endregion
#region Input values
//Console.Write("Enter your height in cm:");
//decimal inputHeight = decimal.Parse(Console.ReadLine());
decimal inputHeight = _inputHeight;
//Console.Write("Enter your weight in kg:");
//decimal inputWeight = decimal.Parse(Console.ReadLine());
decimal inputWeight = _inputWeight;
#endregion
#region Deffuzification of the output set
Defuzzification result = new MeanOfMaximum(
term,
new Dictionary <IDimension, decimal> {
{ height, inputHeight },
{ weight, inputWeight }
}
);
//Console.WriteLine(String.Format("Your disposition to be a basketball player is {0:F3} out of <0,...,5>", result.CrispValue));
// Debug.Log("Your disposition to be a basketball player is {0:F3} out of <0,...,5>" + result.CrispValue);
ans = (double)result.CrispValue;
text.text = ans.ToString();
//Console.WriteLine("Press any key to exit");
//Console.ReadKey();
#endregion
}
/// <summary>
/// Creates new instance of image depicting the specified relation.
/// </summary>
/// <param name="relation">Relation to draw</param>
/// <param name="inputs">Set of specified values for particular dimensions. There can be one dimesion missing. This dimension will be used as the variable dimension on the X-axis. If all dimensions specified, variable dimension needs to be specifed as explicit parameter</param>
public RelationImage(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
if (inputs.Count < _relation.Dimensions.Length - 1)
{
throw new ArgumentException(String.Format("Number of dimensions must at least n-1, where n={0} is the total number of dimensions used in the relation.", relation.Dimensions.Length), "inputs");
}
List <IDimension> dims = _relation.Dimensions.ToList <IDimension>();
foreach (KeyValuePair <IDimension, System.Decimal> input in inputs)
{
//if (!dims.Contains(input.Key))
// throw new ArgumentException(String.Format("Dimension \"{0}\" does not exists in this relation.", input.Key), "inputs");
if (dims.Contains(input.Key))
{
dims.Remove(input.Key);
}
}
if (dims.Count > 1)
{
throw new ArgumentException("There is more than one unspecified dimension left.", "inputs");
}
_inputs = inputs;
if (dims.Count == 1)
{
_variableDimension = dims[0];
if (variableDimension != null && variableDimension != _variableDimension)
{
throw new ArgumentException("Variable dimension missing in inputs does not match the dimension specified by parameter variableDimension.", "variableDimension");
}
_fullySpecified = false;
}
else
{
if (variableDimension == null)
{
throw new ArgumentException("Variable dimension has to be defined explicitly if all variables specified in parameter inputs.", "variableDimension");
}
_variableDimension = variableDimension;
_fullySpecified = true;
_specifiedValue = new decimal?(_inputs[_variableDimension]);
_specifiedMembership = new Nullable <double>(this.isMember(_specifiedValue.Value));
}
}
void Start()
{
_rigidbody = GetComponent <Rigidbody>();
altitude = new ContinuousDimension("Altitude", "Altitude", "units", -100, 100);
velocity = new ContinuousDimension("Velocity", "Velocity", "units/s", -50, 50);
Adim = new ContinuousDimension("", "", "", 0, 10);
Bdim = new ContinuousDimension("", "", "", 0, 10);
Cdim = new ContinuousDimension("", "", "", 0, 10);
A = new TriangularSet(Adim, "", 2, 0, 4);
B = new TriangularSet(Bdim, "", 4, 3, 5);
C = new TriangularSet(Cdim, "", 5, 0, 10);
AlarsB = (A & B) / C;
var projection = AlarsB.Project(new Dictionary <IDimension, decimal> {
{ Adim, 3 }, { Bdim, 4 }
});
for (decimal i = 0; i < 10; i += 1)
{
Debug.Log(i + " " + projection.IsMember(i));
}
upSpeed = new LeftLinearSet(velocity, "up speed", 5, 30);
downSpeed = new RightLinearSet(velocity, "down speed", -30, -5);
noSpeed = new TriangularSet(velocity, "no speed", 0, -10, 10);
high = new LeftLinearSet(altitude, "high", 5, 20);
low = new RightLinearSet(altitude, "l", -20, -5);
mid = new TriangularSet(altitude, "l", 0, -10, 10);
term = (high / downSpeed) %
(low / upSpeed) %
(mid / noSpeed);
/*
* lowUp = (low * upSpeed);
* highDown = (high * downSpeed);
* midno = mid * noSpeed;
*
* for (decimal x = -30; x<= 30; x++) {
* for (decimal y = -30; y <= 30 ; y++) {
* Debug.Log("low(" + x + ") && upSpeed(" + y + ") = " + lowUp.IsMember(new Dictionary<IDimension, decimal> { {altitude, x}, {velocity, y} }));
* }
*
* }
*/
}
/// <summary>
/// Construct instance of a defuzzification wrapper which wrappes a fuzzy relation to deffuzify.
/// </summary>
/// <param name="relation">Fuzzy Relation to defuzzify</param>
/// <param name="inputs">Set of specified values for particular dimensions. There must be exactly one dimesion missing. This dimension will be used as the output dimension.</param>
/// <param name="method">Deffuzification method to apply</param>
/// <returns></returns>
public static Defuzzification GetDefuzzification(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs, DefuzzificationMethod method)
{
switch (method)
{
case DefuzzificationMethod.CenterOfGravity:
return new CenterOfGravity(relation, inputs);
case DefuzzificationMethod.CenterOfMaximum:
return new CenterOfMaximum(relation, inputs);
case DefuzzificationMethod.LeftOfMaximum:
return new LeftOfMaximum(relation, inputs);
case DefuzzificationMethod.RightOfMaximum:
return new RightOfMaximum(relation, inputs);
case DefuzzificationMethod.MeanOfMaximum:
return new MeanOfMaximum(relation, inputs);
default:
throw new NotImplementedException("Unknown defuuzification method.");
}
}
private float ComputeGas(float distanceToFrontBound, FuzzyRelation relation)
{
decimal distance = (decimal)Mathf.Clamp(distanceToFrontBound, 0.0f, 150.0f);
if (displayGui)
{
memberDangerouslyClose = (float)dangerousClose.IsMember(distance);
memberClose = (float)close.IsMember(distance);
memberFar = (float)far.IsMember(distance);
memberZeroSpeed = (float)zeroSpeed.IsMember((decimal)m_Car.CurrentSpeed);
memberLowSpeed = (float)lowSpeed.IsMember((decimal)m_Car.CurrentSpeed);
memberHighSpeed = (float)highSpeed.IsMember((decimal)m_Car.CurrentSpeed);
}
/*
* FuzzySet projection = simpleSteeringRules.Project(new Dictionary<IDimension, decimal>()
* {
* {inputSideBoundDistance, distance }
* });
*
* string str = "";
*
* for (decimal i = -100; i <= 100; i += 20) {
* str += i + ": " + projection.IsMember(i) + ", ";
* }
* Debug.Log(str);
*/
Defuzzification result = new CenterOfGravity(relation, new Dictionary <IDimension, decimal>()
{
{ inputFrontBoundDistance, distance },
{ inputSpeed, (decimal)m_Car.CurrentSpeed }
});
//Debug.Log("distance: " + distance + ", gas: " + result.CrispValue);
crispGas = (float)result.CrispValue;
return((float)result.CrispValue);
}
/// <summary>
/// Defuzzifies the specified relation returning a crisp value for the specified inputs.
/// </summary>
/// <param name="relation">Fuzzy Relation to defuzzify</param>
/// <param name="inputs">Set of specified values for particular dimensions. There must be exactly one dimesion missing. This dimension will be used as the output dimension.</param>
public Defuzzification(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs)
{
_relation = relation;
if (inputs.Count < _relation.Dimensions.Length - 1)
{
throw new ArgumentException(String.Format("Number of dimensions must be bigger than n-1, where n={0} is the total number of dimensions used in the relation.", relation.Dimensions.Length), "inputs");
}
List <IDimension> dims = _relation.Dimensions.ToList <IDimension>();
foreach (KeyValuePair <IDimension, System.Decimal> input in inputs)
{
//if (!dims.Contains(input.Key))
// throw new ArgumentException(String.Format("Dimension \"{0}\" does not exists in this relation.", input.Key), "inputs");
if (dims.Contains(input.Key))
{
dims.Remove(input.Key);
}
}
if (dims.Count > 1)
{
throw new ArgumentException("There is more than one unspecified dimension left.", "inputs");
}
if (dims.Count == 0)
{
throw new ArgumentException("There are no unspecified dimensions left. The output function would be a constanct which can be obtained easier using the IsMember() method.", "inputs");
}
_inputs = inputs;
_outputDimension = dims[0];
if (_outputDimension is IDiscreteDimension)
{
throw new ArgumentException(String.Format("Continuous dimension expected as output dimension. Dimension \"{0}\" is discrete.", _outputDimension.Name));
}
}
protected bool allInputDimensionsAvailable(FuzzyRelation relation)
{
if (relation.Dimensions.Count() == 1)
{
return(true);
}
if (_variableDimension == null)
{
return(false);
}
foreach (IDimension dimension in relation.Dimensions)
{
if (!_inputs.ContainsKey(dimension) && dimension != _variableDimension)
{
return(false);
}
}
return(true);
}
/// <summary>
/// Creates new instance of image depicting the specified relation.
/// </summary>
/// <param name="relation">Relation to draw</param>
/// <param name="inputs">Set of specified values for particular dimensions. There can be one dimesion missing. This dimension will be used as the variable dimension on the X-axis. If all dimensions specified, variable dimension needs to be specifed as explicit parameter</param>
public RelationImage(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
if (inputs.Count < _relation.Dimensions.Length - 1) throw new ArgumentException(String.Format("Number of dimensions must at least n-1, where n={0} is the total number of dimensions used in the relation.", relation.Dimensions.Length), "inputs");
List<IDimension> dims = _relation.Dimensions.ToList<IDimension>();
foreach (KeyValuePair<IDimension, System.Decimal> input in inputs)
{
//if (!dims.Contains(input.Key))
// throw new ArgumentException(String.Format("Dimension \"{0}\" does not exists in this relation.", input.Key), "inputs");
if (dims.Contains(input.Key))
dims.Remove(input.Key);
}
if (dims.Count > 1) throw new ArgumentException("There is more than one unspecified dimension left.", "inputs");
_inputs = inputs;
if (dims.Count == 1)
{
_variableDimension = dims[0];
if (variableDimension != null && variableDimension != _variableDimension)
throw new ArgumentException("Variable dimension missing in inputs does not match the dimension specified by parameter variableDimension.", "variableDimension");
_fullySpecified = false;
}
else
{
if (variableDimension == null)
throw new ArgumentException("Variable dimension has to be defined explicitly if all variables specified in parameter inputs.", "variableDimension");
_variableDimension = variableDimension;
_fullySpecified = true;
_specifiedValue = new decimal?(_inputs[_variableDimension]);
_specifiedMembership = new Nullable<double>( this.isMember(_specifiedValue.Value) );
}
}
/// <summary>
/// Construct instance of a defuzzification wrapper which wrappes a fuzzy relation to deffuzify.
/// </summary>
/// <param name="relation">Fuzzy Relation to defuzzify</param>
/// <param name="inputs">Set of specified values for particular dimensions. There must be exactly one dimesion missing. This dimension will be used as the output dimension.</param>
/// <param name="method">Deffuzification method to apply</param>
/// <returns></returns>
public static Defuzzification GetDefuzzification(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs, DefuzzificationMethod method)
{
switch (method)
{
case DefuzzificationMethod.CenterOfGravity:
return(new CenterOfGravity(relation, inputs));
case DefuzzificationMethod.CenterOfMaximum:
return(new CenterOfMaximum(relation, inputs));
case DefuzzificationMethod.LeftOfMaximum:
return(new LeftOfMaximum(relation, inputs));
case DefuzzificationMethod.RightOfMaximum:
return(new RightOfMaximum(relation, inputs));
case DefuzzificationMethod.MeanOfMaximum:
return(new MeanOfMaximum(relation, inputs));
default:
throw new NotImplementedException("Unknown defuuzification method.");
}
}
private float ComputeSteering(float distToLeftBound, float distToRightBound, FuzzyRelation relation)
{
float r = Mathf.Clamp(distToRightBound, 0.0f, 20.0f);
float l = Mathf.Clamp(distToLeftBound, 0.0f, 20.0f);
float middle = (l + r) / 2;
float fCarPosition;
if (r < middle)
{
fCarPosition = 10.0f - (r / middle) * 10.0f;
}
else
{
fCarPosition = -10.0f + (l / middle) * 10.0f;
}
decimal carPosition = (decimal)fCarPosition;
if (displayGui)
{
memberLeft = (float)dangerousLeft.IsMember(carPosition);
memberRight = (float)dangerousRight.IsMember(carPosition);
memberCenter = (float)safe.IsMember(carPosition);
}
Defuzzification result = new CenterOfGravity(relation, new Dictionary <IDimension, decimal>()
{
{ inputSideBoundDistance, carPosition }
});
crispSteeringWheel = (float)result.CrispValue;
return((float)result.CrispValue);
}
/// <summary>
/// Method to be invoked recursively to build the whole tree
/// </summary>
/// <param name="nodeCollection"></param>
/// <param name="pictureBox"></param>
/// <param name="label"></param>
protected void buildSubTree(FuzzyRelation subrelation, TreeNodeCollection nodeCollection, PictureBox pictureBox, Label label)
{
TreeNode tnThis;
if (subrelation is FuzzySet)
{
FuzzySet fs = (FuzzySet)subrelation;
tnThis = new TreeNode();
if (!String.IsNullOrEmpty(fs.Caption))
{
tnThis.Text = fs.Caption;
}
else
{
tnThis.Text = "Fuzzy Set";
tnThis.ForeColor = UnnamedNodeFontColor;
}
tnThis.ImageKey = "fuzzySet";
tnThis.SelectedImageKey = "fuzzySet";
TreeNode tnDimType = new TreeNode("Type: " + (fs.Dimensions[0] is IContinuousDimension ? "Continuous" : "Discrete"));
tnDimType.ImageKey = "dimensionType";
tnDimType.SelectedImageKey = "dimensionType";
tnThis.Nodes.Add(tnDimType);
}
else
{
NodeFuzzyRelation nfr = (NodeFuzzyRelation)subrelation;
tnThis = new TreeNode("Multidimensional Relation");
tnThis.ForeColor = UnnamedNodeFontColor;
tnThis.ImageKey = "nodeFuzzyRelation";
tnThis.SelectedImageKey = "nodeFuzzyRelation";
TreeNode tnSubrelations = new TreeNode(nfr.Operator.Caption);
tnSubrelations.ImageKey = "subrelations";
tnSubrelations.SelectedImageKey = "subrelations";
tnSubrelations.ForeColor = OperatorFontColor;
tnThis.Nodes.Add(tnSubrelations);
//Find all operands. Several commutative operands of same type from different nested levels will be displayed together
List <FuzzyRelation> nestedSubrelations = new List <FuzzyRelation>();
findNestedOperands(nfr, nestedSubrelations);
foreach (FuzzyRelation nestedSubrelation in nestedSubrelations)
{
buildSubTree(nestedSubrelation, tnSubrelations.Nodes, pictureBox, label);
}
}
#region Dimensions;
TreeNode tnDimensions = new TreeNode("Dimension" + ((subrelation.Dimensions.Count() > 1) ? "s" : ""));
tnDimensions.ImageKey = "dimensions";
tnDimensions.SelectedImageKey = "dimensions";
tnThis.Nodes.Add(tnDimensions);
foreach (IDimension dimension in subrelation.Dimensions)
{
bool blnKnown = _inputs.ContainsKey(dimension);
bool blnContinuous = dimension is IContinuousDimension;
Color fontColor;
string strDimCaption = String.IsNullOrEmpty(dimension.Name) ? "Dimension" : dimension.Name;
if (blnKnown)
{
if (blnContinuous)
{
strDimCaption += String.Format("={0:F5} {1}", _inputs[dimension], ((IContinuousDimension)dimension).Unit);
}
else
{
IDiscreteDimension discreteDim = (IDiscreteDimension)dimension;
if (discreteDim.DefaultSet != null)
{
strDimCaption += "=" + discreteDim.DefaultSet.GetMember(_inputs[dimension]);
}
else
{
strDimCaption += String.Format("=#{0:F0}", _inputs[dimension]);
}
}
fontColor = SpecifiedDimensionFontColor;
}
else
{
fontColor = UnspecifiedDimensionFontColor;
}
if (dimension == _variableDimension)
{
fontColor = VariableDimensionFontColor;
}
string imageKey = String.Format("dimension{0}{1}", blnContinuous ? "Continuous" : "Discrete", blnKnown ? "Known" : "Unknown");
TreeNode tnDimension = new TreeNode(strDimCaption);
tnDimension.ImageKey = imageKey;
tnDimension.SelectedImageKey = imageKey;
tnDimension.ForeColor = fontColor;
addToolTip(tnDimension, dimension.Description);
tnDimensions.Nodes.Add(tnDimension);
}
#endregion
#region Function
#endregion
nodeCollection.Add(tnThis);
}
/// <summary>
/// Method to be invoked recursively to build the whole tree
/// </summary>
/// <param name="nodeCollection"></param>
/// <param name="pictureBox"></param>
/// <param name="label"></param>
protected void buildSubTree(FuzzyRelation subrelation, TreeNodeCollection nodeCollection, PictureBox pictureBox, Label label)
{
TreeNode tnThis;
if (subrelation is FuzzySet)
{
FuzzySet fs = (FuzzySet)subrelation;
tnThis = new TreeNode();
if (!String.IsNullOrEmpty(fs.Caption))
{
tnThis.Text = fs.Caption;
}
else
{
tnThis.Text = "Fuzzy Set";
}
tnThis.ImageKey = "fuzzySet";
tnThis.SelectedImageKey = "fuzzySet";
TreeNode tnDimType = new TreeNode("Type: " + (fs.Dimensions[0] is IContinuousDimension ? "Continuous" : "Discrete"));
tnDimType.ImageKey = "dimensionType";
tnDimType.SelectedImageKey = "dimensionType";
tnThis.Nodes.Add(tnDimType);
}
else
{
NodeFuzzyRelation nfr = (NodeFuzzyRelation)subrelation;
tnThis = new TreeNode("Multidimensional Relation");
tnThis.ImageKey = "nodeFuzzyRelation";
tnThis.SelectedImageKey = "nodeFuzzyRelation";
TreeNode tnSubrelations = new TreeNode(nfr.Operator.Caption);
tnSubrelations.ImageKey = "subrelations";
tnSubrelations.SelectedImageKey = "subrelations";
tnSubrelations.ForeColor = OperatorFontColor;
tnThis.Nodes.Add(tnSubrelations);
//Find all operands. Several commutative operands of same type from different nested levels will be displayed together
List<FuzzyRelation> nestedSubrelations = new List<FuzzyRelation>();
findNestedOperands(nfr, nestedSubrelations);
foreach(FuzzyRelation nestedSubrelation in nestedSubrelations)
{
buildSubTree(nestedSubrelation, tnSubrelations.Nodes, pictureBox, label);
}
}
#region Dimensions
TreeNode tnDimensions = new TreeNode("Dimension" + ((subrelation.Dimensions.Count() > 1) ? "s" : "") );
tnDimensions.ImageKey = "dimensions";
tnDimensions.SelectedImageKey = "dimensions";
tnThis.Nodes.Add(tnDimensions);
foreach(IDimension dimension in subrelation.Dimensions)
{
bool blnKnown = _inputs.ContainsKey(dimension);
bool blnContinuous = dimension is IContinuousDimension;
Color fontColor;
string strDimCaption = String.IsNullOrEmpty(dimension.Name) ? "Dimension" : dimension.Name;
if (blnKnown)
{
if (blnContinuous)
{
strDimCaption += String.Format("={0:F5} {1}", _inputs[dimension], ((IContinuousDimension)dimension).Unit);
}
else
{
IDiscreteDimension discreteDim = (IDiscreteDimension)dimension;
if (discreteDim.DefaultSet != null)
strDimCaption += "=" + discreteDim.DefaultSet.GetMember(_inputs[dimension]).Caption;
else
strDimCaption += String.Format("=#{0:F0}", _inputs[dimension]);
}
fontColor = SpecifiedDimensionFontColor;
}
else
fontColor = UnspecifiedDimensionFontColor;
if (dimension == _variableDimension)
fontColor = VariableDimensionFontColor;
string imageKey = String.Format("dimension{0}{1}", blnContinuous ? "Continuous" : "Discrete", blnKnown ? "Known" : "Unknown");
TreeNode tnDimension = new TreeNode(strDimCaption);
tnDimension.ImageKey = imageKey;
tnDimension.SelectedImageKey = imageKey;
tnDimension.ForeColor = fontColor;
addToolTip(tnDimension, dimension.Description);
tnDimensions.Nodes.Add(tnDimension);
}
#endregion
#region Function
if (allInputDimensionsAvailable(subrelation))
{
IDimension realVariableDimension;
if (subrelation.Dimensions.Count() == 1)
realVariableDimension = subrelation.Dimensions[0];
else
realVariableDimension = _variableDimension;
Dictionary<IDimension, decimal> copyInputs = new Dictionary<IDimension,decimal>( _inputs );
foreach (KeyValuePair<IDimension, decimal> item in _inputs)
if (!subrelation.Dimensions.Contains(item.Key))
copyInputs.Remove(item.Key);
if (copyInputs.ContainsKey(realVariableDimension))
copyInputs.Remove(realVariableDimension);
if (subrelation.Dimensions.Count() > copyInputs.Count())
{
IntervalSet intervals = subrelation.GetFunction(copyInputs);
string strIntervals = intervals.ToString();
string[] arrLines = strIntervals.Split(new char[] { '\n' });
TreeNode tnFunction = new TreeNode("Function");
tnFunction.ImageKey = "function";
tnFunction.SelectedImageKey = "function";
foreach (string line in arrLines)
{
if (!String.IsNullOrWhiteSpace(line))
{
TreeNode tnLine = new TreeNode(line);
tnLine.ImageKey = "spacer";
tnLine.SelectedImageKey = "spacer";
tnFunction.Nodes.Add(tnLine);
}
}
tnThis.Nodes.Add(tnFunction);
}
}
#endregion
tnThis.ForeColor = MainNodeFontColor;
tnThis.Tag = subrelation;
nodeCollection.Add(tnThis);
}
protected bool allInputDimensionsAvailable(FuzzyRelation relation)
{
if (relation.Dimensions.Count() == 1)
return true;
if (_variableDimension == null)
return false;
foreach (IDimension dimension in relation.Dimensions)
{
if (!_inputs.ContainsKey( dimension) && dimension != _variableDimension)
return false;
}
return true;
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="relation">Fuzzy relation to represent as a hierarchical list</param>
/// <param name="inputs">Set of specified values for particular dimensions.</param>
/// <param name="variableDimension">Dimension which should be put on the x-axis</param>
public TreeSource(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
_inputs = inputs;
_variableDimension = variableDimension;
}
/// <summary>
/// Creates new instance of the TreeSource for the specifed relation
/// </summary>
/// <param name="relation">Fuzzy relation to represent as a hierarchical list</param>
/// <param name="inputs">Set of specified values for particular dimensions.</param>
/// <param name="variableDimension">Dimension which should be put on the x-axis</param>
public TreeSource(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs, IDimension variableDimension)
{
_relation = relation;
_inputs = inputs;
_variableDimension = variableDimension;
}
/// <summary>
/// Method to be invoked recursively to build the whole tree
/// </summary>
/// <param name="nodeCollection"></param>
/// <param name="pictureBox"></param>
/// <param name="label"></param>
protected void buildSubTree(FuzzyRelation subrelation, TreeNodeCollection nodeCollection, PictureBox pictureBox, Label label)
{
TreeNode tnThis;
if (subrelation is FuzzySet)
{
FuzzySet fs = (FuzzySet)subrelation;
tnThis = new TreeNode();
if (!String.IsNullOrEmpty(fs.Caption))
{
tnThis.Text = fs.Caption;
}
else
{
tnThis.Text = "Fuzzy Set";
tnThis.ForeColor = UnnamedNodeFontColor;
}
tnThis.ImageKey = "fuzzySet";
tnThis.SelectedImageKey = "fuzzySet";
TreeNode tnDimType = new TreeNode("Type: " + (fs.Dimensions[0] is IContinuousDimension ? "Continuous" : "Discrete"));
tnDimType.ImageKey = "dimensionType";
tnDimType.SelectedImageKey = "dimensionType";
tnThis.Nodes.Add(tnDimType);
}
else
{
NodeFuzzyRelation nfr = (NodeFuzzyRelation)subrelation;
tnThis = new TreeNode("Multidimensional Relation");
tnThis.ForeColor = UnnamedNodeFontColor;
tnThis.ImageKey = "nodeFuzzyRelation";
tnThis.SelectedImageKey = "nodeFuzzyRelation";
TreeNode tnSubrelations = new TreeNode(nfr.Operator.Caption);
tnSubrelations.ImageKey = "subrelations";
tnSubrelations.SelectedImageKey = "subrelations";
tnSubrelations.ForeColor = OperatorFontColor;
tnThis.Nodes.Add(tnSubrelations);
//Find all operands. Several commutative operands of same type from different nested levels will be displayed together
List<FuzzyRelation> nestedSubrelations = new List<FuzzyRelation>();
findNestedOperands(nfr, nestedSubrelations);
foreach(FuzzyRelation nestedSubrelation in nestedSubrelations)
{
buildSubTree(nestedSubrelation, tnSubrelations.Nodes, pictureBox, label);
}
}
#region Dimensions;
TreeNode tnDimensions = new TreeNode("Dimension" + ((subrelation.Dimensions.Count() > 1) ? "s" : "") );
tnDimensions.ImageKey = "dimensions";
tnDimensions.SelectedImageKey = "dimensions";
tnThis.Nodes.Add(tnDimensions);
foreach(IDimension dimension in subrelation.Dimensions)
{
bool blnKnown = _inputs.ContainsKey(dimension);
bool blnContinuous = dimension is IContinuousDimension;
Color fontColor;
string strDimCaption = String.IsNullOrEmpty(dimension.Name) ? "Dimension" : dimension.Name;
if (blnKnown)
{
if (blnContinuous)
{
strDimCaption += String.Format("={0:F5} {1}", _inputs[dimension], ((IContinuousDimension)dimension).Unit);
}
else
{
IDiscreteDimension discreteDim = (IDiscreteDimension)dimension;
if (discreteDim.DefaultSet != null)
strDimCaption += "=" + discreteDim.DefaultSet.GetMember(_inputs[dimension]);
else
strDimCaption += String.Format("=#{0:F0}", _inputs[dimension]);
}
fontColor = SpecifiedDimensionFontColor;
}
else
fontColor = UnspecifiedDimensionFontColor;
if (dimension == _variableDimension)
fontColor = VariableDimensionFontColor;
string imageKey = String.Format("dimension{0}{1}", blnContinuous ? "Continuous" : "Discrete", blnKnown ? "Known" : "Unknown");
TreeNode tnDimension = new TreeNode(strDimCaption);
tnDimension.ImageKey = imageKey;
tnDimension.SelectedImageKey = imageKey;
tnDimension.ForeColor = fontColor;
addToolTip(tnDimension, dimension.Description);
tnDimensions.Nodes.Add(tnDimension);
}
#endregion
#region Function
#endregion
nodeCollection.Add(tnThis);
}
/// <summary>
/// Method to be invoked recursively to build the whole tree
/// </summary>
/// <param name="nodeCollection"></param>
/// <param name="pictureBox"></param>
/// <param name="label"></param>
protected void buildSubTree(FuzzyRelation subrelation, TreeNodeCollection nodeCollection, PictureBox pictureBox, Label label)
{
TreeNode tnThis;
if (subrelation is FuzzySet)
{
FuzzySet fs = (FuzzySet)subrelation;
tnThis = new TreeNode();
if (!String.IsNullOrEmpty(fs.Caption))
{
tnThis.Text = fs.Caption;
}
else
{
tnThis.Text = "Fuzzy Set";
}
tnThis.ImageKey = "fuzzySet";
tnThis.SelectedImageKey = "fuzzySet";
TreeNode tnDimType = new TreeNode("Type: " + (fs.Dimensions[0] is IContinuousDimension ? "Continuous" : "Discrete"));
tnDimType.ImageKey = "dimensionType";
tnDimType.SelectedImageKey = "dimensionType";
tnThis.Nodes.Add(tnDimType);
}
else
{
NodeFuzzyRelation nfr = (NodeFuzzyRelation)subrelation;
tnThis = new TreeNode("Multidimensional Relation");
tnThis.ImageKey = "nodeFuzzyRelation";
tnThis.SelectedImageKey = "nodeFuzzyRelation";
TreeNode tnSubrelations = new TreeNode(nfr.Operator.Caption);
tnSubrelations.ImageKey = "subrelations";
tnSubrelations.SelectedImageKey = "subrelations";
tnSubrelations.ForeColor = OperatorFontColor;
tnThis.Nodes.Add(tnSubrelations);
//Find all operands. Several commutative operands of same type from different nested levels will be displayed together
List <FuzzyRelation> nestedSubrelations = new List <FuzzyRelation>();
findNestedOperands(nfr, nestedSubrelations);
foreach (FuzzyRelation nestedSubrelation in nestedSubrelations)
{
buildSubTree(nestedSubrelation, tnSubrelations.Nodes, pictureBox, label);
}
}
#region Dimensions
TreeNode tnDimensions = new TreeNode("Dimension" + ((subrelation.Dimensions.Count() > 1) ? "s" : ""));
tnDimensions.ImageKey = "dimensions";
tnDimensions.SelectedImageKey = "dimensions";
tnThis.Nodes.Add(tnDimensions);
foreach (IDimension dimension in subrelation.Dimensions)
{
bool blnKnown = _inputs.ContainsKey(dimension);
bool blnContinuous = dimension is IContinuousDimension;
Color fontColor;
string strDimCaption = String.IsNullOrEmpty(dimension.Name) ? "Dimension" : dimension.Name;
if (blnKnown)
{
if (blnContinuous)
{
strDimCaption += String.Format("={0:F5} {1}", _inputs[dimension], ((IContinuousDimension)dimension).Unit);
}
else
{
IDiscreteDimension discreteDim = (IDiscreteDimension)dimension;
if (discreteDim.DefaultSet != null)
{
strDimCaption += "=" + discreteDim.DefaultSet.GetMember(_inputs[dimension]).Caption;
}
else
{
strDimCaption += String.Format("=#{0:F0}", _inputs[dimension]);
}
}
fontColor = SpecifiedDimensionFontColor;
}
else
{
fontColor = UnspecifiedDimensionFontColor;
}
if (dimension == _variableDimension)
{
fontColor = VariableDimensionFontColor;
}
string imageKey = String.Format("dimension{0}{1}", blnContinuous ? "Continuous" : "Discrete", blnKnown ? "Known" : "Unknown");
TreeNode tnDimension = new TreeNode(strDimCaption);
tnDimension.ImageKey = imageKey;
tnDimension.SelectedImageKey = imageKey;
tnDimension.ForeColor = fontColor;
addToolTip(tnDimension, dimension.Description);
tnDimensions.Nodes.Add(tnDimension);
}
#endregion
#region Function
if (allInputDimensionsAvailable(subrelation))
{
IDimension realVariableDimension;
if (subrelation.Dimensions.Count() == 1)
{
realVariableDimension = subrelation.Dimensions[0];
}
else
{
realVariableDimension = _variableDimension;
}
Dictionary <IDimension, decimal> copyInputs = new Dictionary <IDimension, decimal>(_inputs);
foreach (KeyValuePair <IDimension, decimal> item in _inputs)
{
if (!subrelation.Dimensions.Contains(item.Key))
{
copyInputs.Remove(item.Key);
}
}
if (copyInputs.ContainsKey(realVariableDimension))
{
copyInputs.Remove(realVariableDimension);
}
if (subrelation.Dimensions.Count() > copyInputs.Count())
{
IntervalSet intervals = subrelation.GetFunction(copyInputs);
string strIntervals = intervals.ToString();
string[] arrLines = strIntervals.Split(new char[] { '\n' });
TreeNode tnFunction = new TreeNode("Function");
tnFunction.ImageKey = "function";
tnFunction.SelectedImageKey = "function";
foreach (string line in arrLines)
{
if (!String.IsNullOrWhiteSpace(line))
{
TreeNode tnLine = new TreeNode(line);
tnLine.ImageKey = "spacer";
tnLine.SelectedImageKey = "spacer";
tnFunction.Nodes.Add(tnLine);
}
}
tnThis.Nodes.Add(tnFunction);
}
}
#endregion
tnThis.ForeColor = MainNodeFontColor;
tnThis.Tag = subrelation;
nodeCollection.Add(tnThis);
}
public MeanOfMaximum(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs)
: base(relation, inputs)
{
}
// public decimal Work(decimal rain, decimal visibility, decimal temperature, decimal hour)
public Defuzzification Work(decimal rainValue, decimal temperatureValue, decimal fogValue /*, decimal darknessValue*/,
DefuzzificationFactory.DefuzzificationMethod method)
{
FuzzySet zimno = _temperatureParam.NegativeSet;
FuzzySet cieplo = _temperatureParam.PositiveSet;
FuzzySet mokro = _rainParam.PositiveSet;
FuzzySet sucho = _rainParam.NegativeSet;
FuzzySet mgliscie = _fogParam.NegativeSet;
FuzzySet przejrzyscie = _fogParam.PositiveSet;
// FuzzySet ciemno = _darknessParam.PositiveSet;
// FuzzySet jasno = _darknessParam.NegativeSet;
//Definition of dimensions on which we will measure the input values
//ContinuousDimension height = new ContinuousDimension("Height", "Personal height", "cm", 100, 250);
//ContinuousDimension weight = new ContinuousDimension("Weight", "Personal weight", "kg", 30, 200);
//Definition of dimension for output value
ContinuousDimension consequent = new ContinuousDimension("", "0 = not good, 10 = very good", "grade", 0, 10);
//Definition of basic fuzzy sets with which we will work
// input sets:
//FuzzySet tall = new LeftQuadraticSet(height, "Tall person", 150, 180, 200);
//FuzzySet weighty = new LeftLinearSet(weight, "Weighty person", 80, 100);
//_tall = new LeftQuadraticSet(height, "Tall person", 150, 180, 200);
//_weighty = new LeftLinearSet(weight, "Weighty person", 80, 100);
// output set:
FuzzySet goodConditions = _resultParam.PositiveSet; //*/new LeftQuadraticSet(consequent, "Good conditions", 5, 7.5m, 10);
FuzzySet badConditions = _resultParam.NegativeSet; //*/new RightQuadraticSet(consequent, "Bad conditions", 5, 7.5m, 10);
//FuzzySet badConditions = new RightLinearSet(consequent, "Good in basket ball", 0, 10);
//FuzzySet mediumConditions = new TrapezoidalSet(consequent, "", 4,6,2,8);
//Implication
//FuzzyRelation term =/* ((tall & !weighty) & goodForBasket); |*/ (!(tall & !weighty) & !goodForBasket);
//FuzzyRelation term = ((_rainParam.PositiveSet & !_temperatureParam.PositiveSet) & goodForBasket) | ((!_rainParam.PositiveSet & _temperatureParam.PositiveSet) & !goodForBasket);
FuzzyRelation term =
//((zimno) & badConditions) |
((sucho & cieplo) & goodConditions) |
((zimno & mokro) & badConditions) |
((sucho & przejrzyscie) & goodConditions) |
((cieplo & przejrzyscie) & goodConditions) |
((mgliscie & zimno) & badConditions) |
((mgliscie & mokro) & badConditions);
//((mglisto & mokro) & badConditions) |
//((mglisto & mokro) & badConditions) |
//((mglisto & mokro) & badConditions) |
//((mglisto & mokro) & badConditions);
//((zimno & deszcz & mgla & noc) & badConditions) |
//((zimno & deszcz & brakMgly & dzien) & badConditions) |
//((zimno & deszcz & brakMgly & noc) & badConditions) |
//((cieplo & brakDeszczu & mgla & dzien) & goodConditions) |
//((cieplo & brakDeszczu & mgla & noc) & mediumConditions) |
//((cieplo & brakDeszczu & brakMgly & dzien) & goodConditions) |
//((cieplo & brakDeszczu & brakMgly & noc) & goodConditions) |
//((cieplo & deszcz & mgla & dzien) & mediumConditions) |
//((cieplo & deszcz & mgla & noc) & mediumConditions) |
//((cieplo & deszcz & brakMgly & dzien) & goodConditions) |
//((cieplo & deszcz & brakMgly & noc) & goodConditions);
var result = DefuzzificationFactory.GetDefuzzification(term, new Dictionary <IDimension, decimal>
{
{ _rainParam.Dimension, rainValue },
{ _temperatureParam.Dimension, temperatureValue },
{ _fogParam.Dimension, fogValue },
// { _darknessParam.Dimension, darknessValue },
}, method);
//Defuzzification result = new MeanOfMaximum(
// term,
// new Dictionary<IDimension, decimal>{
// { _rainParam.Dimension, rainValue },
// { _temperatureParam.Dimension, temperatureValue },
// { _fogParam.Dimension, fogValue },
// // { _darknessParam.Dimension, darknessValue },
// }
//);
return(result);
}
void Start()
{
if (fs == null)
{
fs = this;
}
#region Definitions
//Definition of dimensions on which we will measure the input values
volume = new ContinuousDimension("Volume", "Vehicle per hour", "veh/hr", 0, 1200);
queue = new ContinuousDimension("Weight", "Vehicle lenth on proper direction", "veh", 0, 30);
//Definition of dimension for output value
greenLight = new ContinuousDimension("Green Time", "green phase duration of Traffic Light", "s", 5, 60);
//Definition of basic fuzzy sets with which we will work
// input sets:
Volume_small = new RightLinearSet(volume, "Small", 100, 300);
Volume_middle = new TrapezoidalSet(volume, "Middle", 300, 400, 100, 600);
Volume_large = new TrapezoidalSet(volume, "Large", 600, 700, 400, 900);
Volume_extraLarge = new LeftLinearSet(volume, "Extra Large", 700, 900);
Queue_small = new RightLinearSet(queue, "Small", 0, 7);
Queue_middle = new TriangularSet(queue, "Middle", 10, 14);
Queue_large = new TriangularSet(queue, "Large", 17, 14);
Queue_extraLarge = new LeftLinearSet(queue, "Extra Large", 17, 23);
// output set:
Time_veryShort = new RightLinearSet(greenLight, "veryshort", 7, 15);
Time_short = new TrapezoidalSet(greenLight, "short", 15, 23, 7, 30);
Time_middle = new TrapezoidalSet(greenLight, "middle", 30, 38, 23, 45);
Time_long = new TrapezoidalSet(greenLight, "long", 45, 53, 38, 60);
Time_veryLong = new LeftLinearSet(greenLight, "verylong", 53, 60);
//Definition of antedescent
//relation =
// ((Volume_small & Queue_small) & Time_veryShort) |
// ((Volume_small & Queue_middle) & Time_short) |
// ((Volume_small & Queue_large) & Time_short) |
// ((Volume_small & Queue_extraLarge) & Time_middle) |
// ((Volume_middle & Queue_small) & Time_short) |
// ((Volume_middle & Queue_middle) & Time_middle) |
// ((Volume_middle & Queue_large) & Time_middle) |
// ((Volume_middle & Queue_extraLarge) & Time_long) |
// ((Volume_large & Queue_small) & Time_middle) |
// ((Volume_large & Queue_middle) & Time_long) |
// ((Volume_large & Queue_large) & Time_long) |
// ((Volume_large & Queue_extraLarge) & Time_veryLong) |
// ((Volume_extraLarge & Queue_small) & Time_middle) |
// ((Volume_extraLarge & Queue_middle) & Time_long) |
// ((Volume_extraLarge & Queue_large) & Time_veryLong) |
// ((Volume_extraLarge & Queue_extraLarge) & Time_veryLong);
relation =
((Volume_small & Queue_small) & Time_veryShort) |
((Volume_small & Queue_middle) & Time_short) |
((Volume_small & Queue_large) & Time_short) |
((Volume_small & Queue_extraLarge) & Time_middle) |
((Volume_middle & Queue_small) & Time_veryShort) |
((Volume_middle & Queue_middle) & Time_short) |
((Volume_middle & Queue_large) & Time_middle) |
((Volume_middle & Queue_extraLarge) & Time_long) |
((Volume_large & Queue_small) & Time_short) |
((Volume_large & Queue_middle) & Time_middle) |
((Volume_large & Queue_large) & Time_long) |
((Volume_large & Queue_extraLarge) & Time_veryLong) |
((Volume_extraLarge & Queue_small) & Time_middle) |
((Volume_extraLarge & Queue_middle) & Time_long) |
((Volume_extraLarge & Queue_large) & Time_veryLong) |
((Volume_extraLarge & Queue_extraLarge) & Time_veryLong);
#endregion
//for (int iv = 0; iv < 110; iv++)
//{
// for (int iq = 0; iq < 25; iq++)
// {
// Instantiate(haha, new Vector3((float)iv * 0.25f, Calc((float)(iv * 10), (float)(iq)) * 0.5f, (float)iq), Quaternion.identity);
// Debug.Log("=!=");
// }
//}
//Debug.Log("=)");
}
/// <summary>
/// Defuzzifies the output set using defuzzifioncation method Center-Of-Gravity
/// </summary>
public CenterOfGravity(FuzzyRelation relation, Dictionary <IDimension, System.Decimal> inputs)
: base(relation, inputs)
{
}
static void Main(string[] args)
{
#region Definitions
//Definition of dimensions on which we will measure the input values
ContinuousDimension height = new ContinuousDimension("Height", "Personal height", "cm", 100, 250);
ContinuousDimension weight = new ContinuousDimension("Weight", "Personal weight", "kg", 30, 200);
//Definition of dimension for output value
ContinuousDimension consequent = new ContinuousDimension("Suitability for basket ball", "0 = not good, 5 = very good", "grade", 0, 5);
//Definition of basic fuzzy sets with which we will work
// input sets:
FuzzySet tall = new LeftLinearSet(height, "Tall person", 170, 185);
FuzzySet weighty = new LeftLinearSet(weight, "Weighty person", 80, 100);
// output set:
FuzzySet goodForBasket = new LeftLinearSet(consequent, "Good in basket ball", 0, 5);
//Definition of antedescent
FuzzyRelation lanky = tall & !weighty;
//Implication
FuzzyRelation term = (lanky & goodForBasket) | (!lanky & !goodForBasket);
#endregion
#region Input values
Console.Write("Enter your height in cm:");
decimal inputHeight = decimal.Parse(Console.ReadLine());
Console.Write("Enter your weight in kg:");
decimal inputWeight = decimal.Parse(Console.ReadLine());
#endregion
#region Auxiliary messages; just for better understanding and not necessary for the final defuzzification
double isLanky = lanky.IsMember(
new Dictionary <IDimension, decimal> {
{ height, inputHeight },
{ weight, inputWeight }
}
);
System.Console.WriteLine(String.Format("You are lanky to the {0:F3} degree out of range <0,1>.", isLanky));
System.Console.WriteLine("Membership distribution in the output set for given inputs:");
for (decimal i = 0; i <= 5; i++)
{
double membership = term.IsMember(
new Dictionary <IDimension, decimal> {
{ height, inputHeight },
{ weight, inputWeight },
{ consequent, i }
}
);
System.Console.WriteLine(String.Format("µrelation(height={0:F0},weight={1:F0},consequent={2:F0}) = {3:F3}", inputHeight, inputWeight, i, membership));
}
System.Console.WriteLine();
#endregion
#region Deffuzification of the output set
Defuzzification result = new MeanOfMaximum(
term,
new Dictionary <IDimension, decimal> {
{ height, inputHeight },
{ weight, inputWeight }
}
);
Console.WriteLine(String.Format("Your disposition to be a basketball player is {0:F3} out of <0,...,5>", result.CrispValue));
Console.WriteLine("Press any key to exit");
Console.ReadKey();
#endregion
}
void treeView_AfterSelect(object sender, TreeViewEventArgs e)
{
if (_pictureBox != null && _label != null)
{
//Find nearest relation upper in the hierarchy
TreeNode tn = e.Node;
while (tn.Tag == null && !(tn.Tag is FuzzyRelation) && !(tn.Tag is Defuzzification.Defuzzification))
{
if (tn.Parent == null)
{ //We are at the top
_label.Text = "";
_pictureBox.Image = null;
tn = null;
break;
}
tn = tn.Parent;
}
if (tn != null)
{
if (tn.Tag is Defuzzification.Defuzzification)
{
Defuzzification.Defuzzification deffuz = (Defuzzification.Defuzzification)tn.Tag;
if (allInputDimensionsAvailable(deffuz.Relation))
{
Dictionary <IDimension, System.Decimal> inputsCopy = new Dictionary <IDimension, System.Decimal>(_inputs);
if (!inputsCopy.ContainsKey(deffuz.OutputDimension))
{
inputsCopy.Add(deffuz.OutputDimension, deffuz.CrispValue);
}
else
{
inputsCopy[deffuz.OutputDimension] = deffuz.CrispValue;
}
RelationImage img = new RelationImage(deffuz.Relation, inputsCopy, deffuz.OutputDimension);
img.SupportOnly = _supportOnly;
Bitmap bmp = new Bitmap(_pictureBox.Width, _pictureBox.Height);
img.DrawImage(System.Drawing.Graphics.FromImage(bmp));
_pictureBox.Image = bmp;
_label.Text = String.Format("{0} deffuzification yields {1}={2:F5} {3}",
deffuz.GetType().Name,
deffuz.OutputDimension.Name,
deffuz.CrispValue,
deffuz.OutputDimension is IContinuousDimension ? ((IContinuousDimension)deffuz.OutputDimension).Unit : ""
);
}
else
{
reportTooManyDimensions();
}
}
else
{
FuzzyRelation relation = (FuzzyRelation)tn.Tag;
if (allInputDimensionsAvailable(relation))
{
RelationImage img = null;
if (relation.Dimensions.Count() == 1)
{
img = new RelationImage(relation, _inputs, relation.Dimensions[0]);
}
else if (_variableDimension != null)
{
img = new RelationImage(relation, _inputs, _variableDimension);
}
if (img == null)
{
_label.Text = "";
_pictureBox.Image = null;
}
else
{
string lblText = "";
img.SupportOnly = _supportOnly;
Bitmap bmp = new Bitmap(_pictureBox.Width, _pictureBox.Height);
img.DrawImage(System.Drawing.Graphics.FromImage(bmp));
_pictureBox.Image = bmp;
IDimension realVariableDimension;
if (relation.Dimensions.Count() == 1)
{
lblText = String.Format("Fuzzy set for dimension {0}.", relation.Dimensions[0].Name);
realVariableDimension = relation.Dimensions[0];
}
else
{
StringBuilder sb = new StringBuilder();
foreach (IDimension dim in relation.Dimensions)
{
if (sb.Length != 0)
{
sb.Append(" x ");
}
sb.Append(dim.Name);
}
lblText = String.Format("Fuzzy relation for dimensions ({0}) where {1} is variable.", sb.ToString(), _variableDimension.Name);
realVariableDimension = _variableDimension;
}
if (_inputs.ContainsKey(realVariableDimension))
{
string value;
if (realVariableDimension is IContinuousDimension)
{
IContinuousDimension dim = (IContinuousDimension)realVariableDimension;
value = _inputs[realVariableDimension].ToString("F5");
if (!String.IsNullOrEmpty(dim.Unit))
{
value += " " + dim.Unit;
}
}
else
{
IDiscreteDimension dim = (IDiscreteDimension)realVariableDimension;
if (dim.DefaultSet != null)
{
value = dim.DefaultSet.GetMember(_inputs[realVariableDimension]).Caption;
}
else
{
value = "#" + _inputs[realVariableDimension].ToString("F0");
}
}
lblText += String.Format("\r\nµ{1}(x)={0:F2} for x={2}.",
relation.IsMember(_inputs),
realVariableDimension.Name,
value
);
}
_label.Text = lblText;
}
}
}
}
}
}
public CenterOfMaximum(FuzzyRelation relation, Dictionary<IDimension, System.Decimal> inputs)
: base(relation, inputs)
{
}
protected void buildRelationNow(bool initial)
{
if (!_ready)
{
return;
}
_waitingForBuild = false;
_building = true;
bool _expressionChanged = false;
decimal inputProduct = ddlProduct.SelectedIndex + 1;
decimal inputPrice = txtPrice.Value;
#region Realtime expression evaluation by means of C# parser
string strExpression = txtExpression.Text;
prependFullName(ref strExpression, "cheap");
prependFullName(ref strExpression, "fruits");
prependFullName(ref strExpression, "buyIt");
object obj = Evaluator.Eval(strExpression);
if (obj != null)
{
if (!(obj is FuzzyRelation))
{
MessageBox.Show(String.Format("ERROR: Object of type FuzzyRelation expected as the result of the expression.\r\nThis object is type {0}.", obj.GetType().FullName),
"Error evaluating expression", MessageBoxButtons.OK,
MessageBoxIcon.Error);
}
else
{
_relation = (FuzzyRelation)obj;
if (_expression != txtExpression.Text)
{
_expressionChanged = true;
}
_expression = txtExpression.Text;
}
}
#endregion
#region Defuzzification
DefuzzificationFactory.DefuzzificationMethod method = (DefuzzificationFactory.DefuzzificationMethod)ddlDefuzMethod.SelectedIndex;
_defuzzification = DefuzzificationFactory.GetDefuzzification(
_relation,
new Dictionary <IDimension, decimal> {
{ product, inputProduct },
{ price, inputPrice }
},
method
);
_defuzzMethod = method;
#endregion
#region Output value
string unit = ((IContinuousDimension)_defuzzification.OutputDimension).Unit;
lblOutput.Text = _defuzzification.CrispValue.ToString("F5") + (string.IsNullOrEmpty(unit) ? "" : " " + unit);
#endregion
Cursor.Current = Cursors.WaitCursor;
#region storing TreeView selection
//Store information about currenlty selected node. It will become handy
//when selecting the same node after the refresh (if applicable)
List <int> selectedNodePath = new List <int>();
if (treeViewRelation.SelectedNode != null)
{
TreeNode pointer = treeViewRelation.SelectedNode;
while (pointer != null)
{
selectedNodePath.Add(pointer.Index);
pointer = pointer.Parent;
}
}
else if (initial)
{
selectedNodePath.Add(0);
}
#endregion
TreeSource ts = new TreeSource(_defuzzification);
ts.DrawImageOnNodeSelect = false;
ts.BuildTree(treeViewRelation, pictureBoxGraph, lblGraphCaption);
//Cursor.Current = Cursors.Default;
#region restoring TreeView selection
if ((!_expressionChanged || initial) && selectedNodePath.Count() > 0 && selectedNodePath[selectedNodePath.Count() - 1] < treeViewRelation.Nodes.Count)
{
//We will now try to restore the selection
TreeNode pointer = treeViewRelation.Nodes[selectedNodePath[selectedNodePath.Count() - 1]];
for (int i = selectedNodePath.Count() - 2; i >= 0; i--)
{
if (selectedNodePath[i] >= pointer.Nodes.Count)
{
pointer = null;
break;
}
pointer = pointer.Nodes[selectedNodePath[i]];
}
if (pointer != null)
{
treeViewRelation.SelectedNode = pointer;
ts.DrawDetailImage(pointer);
}
}
Cursor.Current = Cursors.Default;
ts.DrawImageOnNodeSelect = true;
#endregion
_building = false;
}
