public void AddLinguisticOutVal( LinguisticOutputValue outVal )
{
if ( !m_OutputValues.ContainsKey( outVal.Identifier ) )
{
m_OutputValues.Add( outVal.Identifier, outVal );
m_Keys.Add( outVal.Identifier );
}
}
public void AddLinguisticOutVal(LinguisticOutputValue outVal)
{
if (!m_OutputValues.ContainsKey(outVal.Identifier))
{
m_OutputValues.Add(outVal.Identifier, outVal);
m_Keys.Add(outVal.Identifier);
}
}
public static void MakeReady( Defuzzifier defuzzifier )
{
defuzzifier.m_OutputValues.Clear();
string line;
char[] separator = {' ', '\t', '\n'};
string[] tokens;
string[] s = RuleOutputs.GetOutputs();
for ( int i = 0; i < s.Length; i++ )
{
line = s[i].Trim();
if ( line.Length > 0 && line[0] != ';' )
{
tokens = line.Split( separator );
LinguisticOutputValue OutVal = new LinguisticOutputValue( tokens[0], double.Parse( tokens[1] ) );
defuzzifier.AddLinguisticOutVal( OutVal );
}
}
}
public static void MakeReady(Defuzzifier defuzzifier)
{
defuzzifier.m_OutputValues.Clear();
string line;
char[] separator = { ' ', '\t', '\n' };
string[] tokens;
string[] s = RuleOutputs.GetOutputs();
for (int i = 0; i < s.Length; i++)
{
line = s[i].Trim();
if (line.Length > 0 && line[0] != ';')
{
tokens = line.Split(separator);
LinguisticOutputValue OutVal = new LinguisticOutputValue(tokens[0], double.Parse(tokens[1]));
defuzzifier.AddLinguisticOutVal(OutVal);
}
}
}
