public FuzzyInputData()
{
values = new FuzzyNumber[NumberOfVariables];
for (int i = 0; i < values.Length; i++)
{
values[i] = new FuzzyNumber();
}
}
public static FuzzyNumber operator &(FuzzyNumber a, FuzzyNumber b)
{
var and = new FuzzyNumber();
foreach (FuzzyUtility.FuzzyStates state in System.Enum.GetValues(typeof(FuzzyUtility.FuzzyStates)))
{
and[state] = Mathf.Min(a[state], b[state]);
}
return(and);
}
public static FuzzyNumber operator |(FuzzyNumber a, FuzzyNumber b)
{
var or = new FuzzyNumber();
foreach (FuzzyUtility.FuzzyStates state in System.Enum.GetValues(typeof(FuzzyUtility.FuzzyStates)))
{
or[state] = Mathf.Max(a[state], b[state]);
}
return(or);
}
public static FuzzyNumber operator !(FuzzyNumber n)
{
var negation = new FuzzyNumber();
foreach (FuzzyUtility.FuzzyStates state in System.Enum.GetValues(typeof(FuzzyUtility.FuzzyStates)))
{
negation[state] = 1f - n[state];
}
return(negation);
}
private float GetCrispValue(FuzzyNumber fuzzyNumber)
{
switch (defuzificationMethod)
{
case FuzzySystem.DefuzzificationMethod.Maximum:
return(Maximum(fuzzyNumber));
case FuzzySystem.DefuzzificationMethod.CenterOfMass:
return(CenterOfMass(fuzzyNumber));
default:
return(-1);
}
}
private float CenterOfMass(FuzzyNumber fuzzyNumber)
{
float weightedTotal = 0;
float sum = fuzzyNumber.Sum;
// weight each value
foreach (FuzzyUtility.FuzzyStates state in System.Enum.GetValues(typeof(FuzzyUtility.FuzzyStates)))
{
float weighedValue = fuzzyNumber[state] * FuzzyNumber.NormalisedStateValues[state];
weighedValue /= sum;
weightedTotal += weighedValue;
}
return(weightedTotal);
}
private float Maximum(FuzzyNumber fuzzyNumber)
{
float max = 0;
FuzzyUtility.FuzzyStates maxState = FuzzyUtility.FuzzyStates.Z;
foreach (FuzzyUtility.FuzzyStates state in System.Enum.GetValues(typeof(FuzzyUtility.FuzzyStates)))
{
float current = fuzzyNumber[state];
if (current <= max)
{
continue;
}
else
{
maxState = state;
max = current;
}
}
float meanOfMaximum = FuzzyNumber.NormalisedStateValues[maxState];
return(meanOfMaximum);
}