private void buttonApply_Click(object sender, EventArgs e)
{
if (MessageBox.Show("Сохранить кластеры?", "Анализ временных рядов", MessageBoxButtons.YesNo,
MessageBoxIcon.Question) == DialogResult.Yes)
{
var logic = new FuzzyLabelService();
for (int i = 0; i < dataGridView.Rows.Count; ++i)
{
try
{
logic.InsertElement(new FuzzyLabelBindingModel
{
SeriesId = _seriesId,
FuzzyLabelType = FuzzyLabelType.ClustFCM,
FuzzyLabelName = dataGridView.Rows[i].Cells[0].Value.ToString(),
Weigth = Convert.ToInt32(
dataGridView.Rows[i].Cells[1].Value),
MinVal = Convert.ToDouble(dataGridView.Rows[i].Cells[2].Value),
Center = Convert.ToDouble(dataGridView.Rows[i].Cells[3].Value),
MaxVal = Convert.ToDouble(dataGridView.Rows[i].Cells[4].Value)
});
}
catch (Exception ex)
{
MessageBox.Show("Ошибка при добавлении: " + ex.Message, "Анализ временных рядов",
MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
DialogResult = DialogResult.OK;
Close();
}
}
/// <summary>
/// Генерируем правила определения тенденции по нечетким меткам
/// </summary>
/// <param name="seriesId"></param>
/// <returns></returns>
public static List <RuleTrendViewModel> GenerateRuleTrends(int seriesId)
{
var logicFL = new FuzzyLabelService();
var logicFT = new FuzzyTrendService();
var labels = logicFL.GetElements(seriesId);
var trends = logicFT.GetElements(seriesId);
// формируем правила нечетких тенденций
List <RuleTrendViewModel> rules = new List <RuleTrendViewModel>();
// проходимся по всем нечетким меткам ряда
foreach (var labFrom in labels)
{
foreach (var labTo in labels)
{
rules.Add(new RuleTrendViewModel
{
SeriesDiscriptionId = seriesId,
FuzzyTrendName = FuzzyTrendLabel.Неопределено.ToString(),
FuzzyTrendWeight = labTo.FuzzyLabelWeight - labFrom.FuzzyLabelWeight,
FuzzyLabelFromId = labFrom.Id,
FuzzyLabelFromName = labFrom.FuzzyLabelName,
FuzzyLabelToId = labTo.Id,
FuzzyLabelToName = labTo.FuzzyLabelName
});
}
}
// сортируем правила по весам
rules = rules.OrderBy(r => r.FuzzyTrendWeight).ToList();
DistributePointTrendsByTrends(rules, trends);
return(rules);
}
private bool CreateFuzzyLabel(string fileName, int seriesId)
{
lock (createFuzzyLabels)
{
try
{
int _countClasters = countCenters;
while (true)
{
var clust = new ModelClustering(fileName, 1, _countClasters);
if (clust.Calc())
{
var points = clust.Points;
var logic = new FuzzyLabelService();
List <FuzzyLabelBindingModel> fuzzyPoints = new List <FuzzyLabelBindingModel>();
for (int i = 0; i < countCenters; ++i)
{
if (points.Count > 0)
{
var point = points.First(r => r.X == points.Min(rex => rex.X));
var clustPoints = points.Where(r => r.ClusterIndex == point.ClusterIndex);
fuzzyPoints.Add(new FuzzyLabelBindingModel
{
SeriesId = seriesId,
FuzzyLabelType = FuzzyLabelType.ClustFCM,
FuzzyLabelName = "Кластер " + (i + 1),
Weigth = i + 1,
MinVal = clustPoints.Min(rex => rex.X),
Center = clust.Centers[(int)point.ClusterIndex].X,
MaxVal = clustPoints.Max(rex => rex.X)
});
points.RemoveAll(r => r.ClusterIndex == point.ClusterIndex);
}
else
{
fuzzyPoints.Add(new FuzzyLabelBindingModel
{
SeriesId = seriesId,
FuzzyLabelType = FuzzyLabelType.ClustFCM,
FuzzyLabelName = "Кластер " + (i + 1),
Weigth = i + 1,
MinVal = 0,
Center = 0,
MaxVal = 0
});
}
}
double delta = 5;
fuzzyPoints[fuzzyPoints.Count - 1].MaxVal += delta;
for (int i = 0; i < fuzzyPoints.Count - 1; ++i)
{
fuzzyPoints[i].MinVal -= delta;
delta = (fuzzyPoints[i + 1].MinVal - fuzzyPoints[i].MaxVal) / 2 + 5;
fuzzyPoints[i].MaxVal += delta;
logic.InsertElement(fuzzyPoints[i]);
}
fuzzyPoints[fuzzyPoints.Count - 1].MinVal -= delta;
logic.InsertElement(fuzzyPoints[fuzzyPoints.Count - 1]);
return(true);
}
_countClasters--;
if (_countClasters < 0)
{
throw new Exception("Кластеризация не прошла");
}
}
}
catch (Exception ex)
{
throw new Exception(string.Format("CreateFuzzyLabel {0}: {1}", fileName, ex.Message));
}
}
}
