public void TestFuzzySet_Simple()
{
FuzzyValueSet set = new FuzzyValueSet();
FuzzyValue <Temperature> value = new FuzzyValue <Temperature>()
{
linguisticVariable = Temperature.Hot, membershipDegree = 0.5f
};
set.Set(value);
var result = set.Get(Temperature.Hot);
Assert.AreEqual(Temperature.Hot, result.linguisticVariable);
Assert.AreEqual(0.5f, result.membershipDegree);
}
public void TestValueMergeByOr()
{
var desirability = this.GetDesirabilitySet();
var distance = this.GetDistanceToTargetSet();
var ammo = this.GetAmmoStatusSet();
var rocketLaucherRules = this.GetRocketLauncherRules();
FuzzyValueSet inputs = new FuzzyValueSet();
distance.Evaluate(200f, inputs);
ammo.Evaluate(8f, inputs);
IRuleEvaluator <Desirability> ruleEvaluator = new RuleEvaluator <Desirability>();
var ruleOutputs = ruleEvaluator.EvaluateRules(new List <FuzzyRule <Desirability> >(rocketLaucherRules), inputs);
IFuzzyValuesMerger <Desirability> merger = new CachedOutputsFuzzyValuesMerger <Desirability>();
FuzzyValueSet mergedValues = new FuzzyValueSet();
merger.MergeValues(ruleOutputs, mergedValues);
this.AssertFuzzyValue <Desirability>(Desirability.Undesirable, 0.33f, mergedValues.Get(Desirability.Undesirable));
this.AssertFuzzyValue <Desirability>(Desirability.Desirable, 0.2f, mergedValues.Get(Desirability.Desirable));
this.AssertFuzzyValue <Desirability>(Desirability.VeryDesirable, 0.67f, mergedValues.Get(Desirability.VeryDesirable));
}
public void TestFuzzySet_DiffEnum_A()
{
FuzzyValueSet set = new FuzzyValueSet();
FuzzyValue <Temperature> value01 = new FuzzyValue <Temperature>()
{
linguisticVariable = Temperature.Hot, membershipDegree = 0.5f
};
FuzzyValue <Command> value02 = new FuzzyValue <Command>()
{
linguisticVariable = Command.Heat, membershipDegree = 1f
};
set.Set(value02);
set.Set(value01);
var result = set.Get(Temperature.Hot);
Assert.AreEqual(Temperature.Hot, result.linguisticVariable);
Assert.AreEqual(0.5f, result.membershipDegree);
}
public float Defuzze(FuzzySet <T> outputVariableSet, FuzzyValueSet fuzzyValues)
{
float sumRepValConf = 0.0f;
float sumConf = 0.0f;
FuzzyVariable <T> fuzzyVar = null;
FuzzyValue <T> value;
for (int i = 0; i < this.outputEnumValues.Length; i++)
{
T linguisticVar = this.outputEnumValues[i];
value = fuzzyValues.Get(linguisticVar);
if (value.Confidence <= 0.0f)
{
continue;
}
fuzzyVar = outputVariableSet.Get(linguisticVar);
sumRepValConf += (fuzzyVar.MembershipFunction.RepresentativeValue * value.Confidence);
sumConf += value.Confidence;
}
return(sumRepValConf / sumConf);
}
public float Evaluate(FuzzyValueSet set)
{
var fuzzyVar = set.Get(this.LinguisticVariable);
return(MathFz.Clamp01(fuzzyVar.membershipDegree));
}
