private string ErrorInfoTSA(IFuzzySystem FS)
{
TSAFuzzySystem IFS = FS as TSAFuzzySystem;
if (IFS.RulesDatabaseSet.Count < 1)
{
return("Точность нечеткой системы недоступна");
}
approxLearnResult.Add(IFS.approxLearnSamples(IFS.RulesDatabaseSet[0]));
approxTestResult.Add(IFS.approxTestSamples(IFS.RulesDatabaseSet[0]));
approxLearnResultMSE.Add(IFS.RMSEtoMSEforLearn(approxLearnResult[approxLearnResult.Count - 1]));
approxTestResultMSE.Add(IFS.RMSEtoMSEforTest(approxTestResult[approxTestResult.Count - 1]));
approxLearnResultMSEdiv2.Add(IFS.RMSEtoMSEdiv2forLearn(approxLearnResult[approxLearnResult.Count - 1]));
approxTestResultMSEdiv2.Add(IFS.RMSEtoMSEdiv2forTest(approxTestResult[approxTestResult.Count - 1]));
// Console.WriteLine($"Time\t{IFS.sw.ElapsedMilliseconds} {Environment.NewLine }Ticks\t{IFS.sw.ElapsedTicks}");
return("Точностью на обучающей выборке(RSME) " + approxLearnResult[approxLearnResult.Count - 1].ToString() + " , Точность на тестовой выборке(RMSE) " + approxTestResult[approxTestResult.Count - 1].ToString() + " " + Environment.NewLine +
"Точностью на обучающей выборке(MSE) " + approxLearnResultMSE[approxLearnResultMSE.Count - 1].ToString() + " , Точность на тестовой выборке(MSE) " + approxTestResultMSE[approxTestResultMSE.Count - 1].ToString() + " " + Environment.NewLine +
"Точностью на обучающей выборке(MSE/2) " + approxLearnResultMSEdiv2[approxLearnResultMSEdiv2.Count - 1].ToString() + " , Точность на тестовой выборке(MSE/2) " + approxTestResultMSEdiv2[approxTestResultMSEdiv2.Count - 1].ToString() + " " + Environment.NewLine);
}
private static void writeAboutEstimates(XmlWriter writer, TSAFuzzySystem Approximate)
{
writer.WriteStartElement("Estimates");
if (Approximate.TestSamplesSet != null)
{
writer.WriteAttributeString("Count", XmlConvert.ToString(22));
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.LearnSamplesSet.FileName);
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approxLearnSamples(Approximate.RulesDatabaseSet[0])));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.LearnSamplesSet.FileName);
writer.WriteAttributeString("Type", "MSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.RMSEtoMSEforLearn(Approximate.approxLearnSamples(Approximate.RulesDatabaseSet[0]))));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.TestSamplesSet.FileName);
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approxTestSamples(Approximate.RulesDatabaseSet[0])));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.TestSamplesSet.FileName);
writer.WriteAttributeString("Type", "MSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.RMSEtoMSEforTest(Approximate.approxTestSamples(Approximate.RulesDatabaseSet[0]))));
writer.WriteEndElement();
}
else
{
writer.WriteAttributeString("Count", XmlConvert.ToString(20));
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.LearnSamplesSet.FileName);
writer.WriteAttributeString("Type", "RMSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.approxLearnSamples(Approximate.RulesDatabaseSet[0])));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Table", Approximate.LearnSamplesSet.FileName);
writer.WriteAttributeString("Type", "MSE");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.RMSEtoMSEforLearn(Approximate.approxLearnSamples(Approximate.RulesDatabaseSet[0]))));
writer.WriteEndElement();
}
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GIBNormal");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGIBNormal()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GIBSumStraigh");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGIBSumStrait()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GIBSumReverse");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGIBSumReverse()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GICNormal");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGICNormal()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GICSumStraigh");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGICSumStraigth()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GICSumReverse");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGICSumReverce()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GISNormal");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGISNormal()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GISSumStraigh");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGISSumStraigt()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "GISSumReverce");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getGISSumReverce()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "LindisNormal");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getLindisNormal()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "LindisSumStraigh");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getLindisSumStraight()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "LindisSumReverse");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getLindisSumReverse()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "NormalIndex");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getNormalIndex()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "RealIndex");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getIndexReal()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "SumStraigthIndex");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getIndexSumStraigt()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "SumReverseIndex");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getIndexSumReverse()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "ComplexitIt");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getComplexit()));
writer.WriteEndElement();
writer.WriteStartElement("Estimate");
writer.WriteAttributeString("Type", "CountRules");
writer.WriteAttributeString("Value", XmlConvert.ToString(Approximate.getRulesCount()));
writer.WriteEndElement();
writer.WriteEndElement();
}
