public FrmAutomaFuzzy()
{
RecognitionFuzzy regexFuzzy = new RecognitionFuzzy("[0-9]+",
new MinNorm(), new MaxConorm(), 0.3);
double pertinence = regexFuzzy.Match("123456a");
InitializeComponent();
}
public FrmAutomaFuzzy()
{
RecognitionFuzzy regexFuzzy = new RecognitionFuzzy("[0-9]+",
new MinNorm(), new MaxConorm(), 0.3);
double pertinence = regexFuzzy.Match("123456a");
InitializeComponent();
}
private void txtExpression_TextChanged(object sender, EventArgs e)
{
try
{
regexFuzzy = new RecognitionFuzzy(txtExpression.Text, new MinNorm(), new MaxConorm(), 0.9);
Draw(regexFuzzy.Automa);
PrintMatch();
}
catch (Exception ex)
{ }
}
public RecognitionToken(int id, string name, string fregex, string hexColor, NormAbstract norm, ConormAbstract conorm)
{
this.Norm = norm;
this.Conorm = conorm;
Id = id;
Name = name;
RegexFuzzy = new RecognitionFuzzy(fregex, norm, conorm, 0.8);
Unitary = (!String.IsNullOrEmpty(fregex)) && (fregex.Length == 1);
if (string.IsNullOrWhiteSpace(hexColor))
{
System.Array colorsArray = Enum.GetValues(typeof(KnownColor));
this.Color = Color.FromKnownColor((KnownColor)colorsArray.GetValue((id * 10) % colorsArray.Length));
}
else
{
this.Color = System.Drawing.ColorTranslator.FromHtml(hexColor);
}
}
private void txtExpression_TextChanged(object sender, EventArgs e)
{
try
{
regexFuzzy = new RecognitionFuzzy(txtExpression.Text, new MinNorm(), new MaxConorm(), 0.9);
Draw(regexFuzzy.Automa);
PrintMatch();
}
catch (Exception ex)
{ }
}
