private static void CheckType1(int stage = 3)
{
List<FuzzyVariable> inputVariables = DataProvider.DataProvider.GetInputVariables();
FuzzyVariable outputVariable = DataProvider.DataProvider.GetOutputVariable();
RulesList ruleDefinitions = DataProvider.DataProvider.GetRulesDefinitions();
List<string> includedVariables = DataProvider.DataProvider.GetIncludedVariables(stage);
var decisionMaker = new DecisionMakerType1(inputVariables, outputVariable, ruleDefinitions, includedVariables);
// DataProvider.DataProvider.SaveInputVariables(decisionMaker.SerializableParameters);
var learningDataSet = DataProvider.DataProvider.GetLearningDataSet();
Console.WriteLine("Learning data set ({0} vectors):", learningDataSet.Count);
int i = 1;
foreach (MeasurementWithResult vector in learningDataSet)
{
var result = decisionMaker.Infer(vector.InputValues);
Console.WriteLine(
"X{0}: {1}",
i,
Math.Round(result.Value, 2));
i++;
}
var testDataSet = DataProvider.DataProvider.GetTestDataSet();
Console.WriteLine("Test data set ({0} vectors):", testDataSet.Count);
i = 1;
foreach (MeasurementWithResult vector in testDataSet)
{
var result = decisionMaker.Infer(vector.InputValues);
Console.WriteLine(
"X{0}: {1}",
i,
Math.Round(result.Value, 2));
i++;
}
}
