public static List<FuzzyVariable> Stretch(
List<MeasurementWithResult> learningSet,
DecisionMakerType1 originalDecisionMaker,
VariableMFParam toStretch,
BoundType boundType)
{
List<MeasurementWithResult> withResultsFromFs = (from measurement in learningSet
select
new MeasurementWithResult
{
InputValues = new Dictionary<string, double>(measurement.InputValues),
OutputString = originalDecisionMaker.InferTerm(measurement.InputValues)
}).ToList();
double multiplier = 1;
int error = 0;
bool canStretchMore = true;
if (boundType == BoundType.Upper)
{
while (error == 0 && canStretchMore)
{
multiplier += 0.001;
MamdaniFuzzySystem newFuzzySystem = UpdateParamsByMultiplier(
originalDecisionMaker,
multiplier,
toStretch,
out canStretchMore);
var updatedDecisionMaker = new DecisionMakerType1(newFuzzySystem, originalDecisionMaker.RulesDefinitions);
error = (from measurement in withResultsFromFs
where updatedDecisionMaker.InferTerm(measurement.InputValues) != measurement.OutputString
select measurement).Count();
}
multiplier -= 0.001;
var finalFuzzySystem = UpdateParamsByMultiplier(
originalDecisionMaker,
multiplier,
toStretch,
out canStretchMore);
return finalFuzzySystem.Input;
}
else
{
while (error == 0 && canStretchMore)
{
multiplier -= 0.001;
MamdaniFuzzySystem newFuzzySystem = UpdateParamsByMultiplier(
originalDecisionMaker,
multiplier,
toStretch,
out canStretchMore);
var updatedDecisionMaker = new DecisionMakerType1(newFuzzySystem, originalDecisionMaker.RulesDefinitions);
error = (from measurement in withResultsFromFs
where updatedDecisionMaker.InferTerm(measurement.InputValues) != measurement.OutputString
select measurement).Count();
}
multiplier += 0.001;
var finalFuzzySystem = UpdateParamsByMultiplier(
originalDecisionMaker,
multiplier,
toStretch,
out canStretchMore);
return finalFuzzySystem.Input;
}
}
