/**
* Perform an update to the set.
*
* @param matchSet the match set used for the update
* @param correctSet the correct set used for the update
*/
@Override
public void performUpdate(final ClassifierSet matchSet, final ClassifierSet correctSet) {
double strengthSum = 0;
final int matchSetMacroclassifiers = matchSet.getNumberOfMacroclassifiers();
final int correctSetSize = correctSet.getTotalNumerosity();
for (int i = 0; i < matchSetMacroclassifiers; i++) {
final Classifier cl = matchSet.getClassifier(i);
UCSClassifierData data = ((UCSClassifierData) cl.getUpdateDataObject());
cl.experience++;
data.msa += 1;
if (correctSet.getClassifierNumerosity(cl) > 0) {
data.cs = data.cs + (b * (correctSetSize - data.cs));
data.tp += 1;
final double accuracy = ((double) data.tp) / ((double) data.msa);
if (accuracy > accuracy0) {
data.fitness0 = 1;
// Check subsumption
if (cl.experience >= this.subsumptionExperienceThreshold) cl.setSubsumptionAbility(true);
} else {
data.fitness0 = a * Math.pow(accuracy / accuracy0, n);
cl.setSubsumptionAbility(false);
}
strengthSum += data.fitness0 * matchSet.getClassifierNumerosity(i);
} else {
data.fp += 1;
data.fitness0 = 0;
}
}
// Fix for avoiding problems...
if (strengthSum == 0) strengthSum = 1;
// double fitnessSum = 0;
final int msSize = matchSet.getNumberOfMacroclassifiers();
for (int i = 0; i < msSize; i++) {
Classifier cl = matchSet.getClassifier(i);
UCSClassifierData data = ((UCSClassifierData) cl.getUpdateDataObject());
data.fitness += b * ((data.fitness0 / strengthSum) - data.fitness); // TODO:
// Something
// else?
// fitnessSum += data.fitness * matchSet.getClassifierNumerosity(i);
}
}
@Override
public void setComparisonValue(
final Classifier aClassifier, final int mode, final double comparisonValue) {
final UCSClassifierData data = ((UCSClassifierData) aClassifier.getUpdateDataObject());
data.fitness = comparisonValue;
}
