flScalar CompoundTerm::membership(flScalar crisp) const {
flScalar max = flScalar(0);
for (size_t i = 0; i < _terms.size(); ++i) {
max = fuzzyOperator().aggregation().execute(max, _terms[i]->membership(crisp));
}
return fuzzyOperator().modulation().execute(modulation(), max);
}
flScalar TrapezoidalTerm::membership(flScalar crisp) const {
if (crisp < minimum() || crisp > maximum()) {
return flScalar(0);
}
if (crisp < b()) {
return fuzzyOperator().modulation().execute(modulation(),
FuzzyOperation::Scale(a(), b(), crisp, 0, 1));
}
if (crisp < c()) {
return fuzzyOperator().modulation().execute(modulation(), flScalar(1.0));
}
if (crisp < d()) {
return fuzzyOperator().modulation().execute(modulation(),
FuzzyOperation::Scale(c(), d(), crisp, 1, 0));
}
return flScalar(0.0);
}
flScalar TriangularTerm::membership(flScalar crisp) const {
if (crisp > maximum() || crisp < minimum()) {
return flScalar(0.0);
}
flScalar result = crisp < b() ? FuzzyOperation::Scale(a(), b(), crisp, 0, 1)
: FuzzyOperation::Scale(b(), c(), crisp, 1, 0);
return fuzzyOperator().modulation().execute(result, modulation());
}
void LinguisticTerm::centroid(flScalar& x, flScalar& y) const {
fuzzyOperator().centroid(this, x, y);
}
flScalar LinguisticTerm::area() const {
return fuzzyOperator().area(this);
}
flScalar LinguisticTerm::defuzzify() const {
return fuzzyOperator().defuzzify(this);
}
flScalar LinguisticTerm::areaAndCentroid(flScalar& x, flScalar& y) const {
return fuzzyOperator().areaAndCentroid(this, x, y);
}
flScalar SingletonTerm::membership(flScalar crisp) const {
return fuzzyOperator().modulation().execute(modulation(), FuzzyOperation::IsEq(crisp, value())
? flScalar(1.0) : flScalar(0.0));
}
FuzzyRule::FuzzyRule() : _antecedent(NULL) {
setFuzzyOperator(fuzzyOperator().DefaultFuzzyOperator());
}
flScalar RectangularTerm::membership(flScalar crisp) const {
if (crisp > maximum() || crisp < minimum()) {
return flScalar(0.0);
}
return fuzzyOperator().modulation().execute(1.0, modulation());
}
