public FuzzyInferenceSystem()
{
rules = new List<Rule>();
InputVariables = new FuzzyConditions();
OutputVariables = new FuzzyConditions();
fuzzy = new Fuzzifier();
inputValues = new FuzzyInputValues();
// TODO
defuzzy = new WeightedAverage();
}
// Retrieves next behaviour from fuzzy logic module
private void DoFuzzyLogic()
{
if (Target != null)
{
Fuzzifier fuzz = new Fuzzifier(HealthPoints / MaxHealth, (Target as Hero).HealthPoints / (Target as Hero).MaxHealth,
(Position - Target.Position).Length() / MAX_DISTANCE);
BehaviouralState = fuzz.GetBehaviour();
// release any reserved slot if new behaviour does not require one
if (BehaviouralState != BehaviourState.MeleeCreep && BehaviouralState != BehaviourState.MeleePursue)
{
if (targetslot >= 0)
{
Target.releaseSlot(this, targetslot);
}
GroundTarget = new Vector3();
}
// forget the target if the bew behaviour does not require one
if (BehaviouralState == BehaviourState.Wander)
{
Target = null;
}
}
}
