public FuzzyController()
{
m_PreProcessor = new PreProcessor();
PreProcessor.MakeReady( m_PreProcessor );
m_Fuzzifier = new Fuzzifier();
Fuzzifier.MakeReady( m_Fuzzifier );
Fuzzifier.LoadMemberFunctions( m_Fuzzifier, ".\\Fuzzeval.mf" );
m_InferenceEngine = new InferenceEngine();
InferenceEngine.MakeReady( m_InferenceEngine );
m_Defuzzifier = new Defuzzifier();
Defuzzifier.MakeReady( m_Defuzzifier );
}
public FuzzyController()
{
m_PreProcessor = new PreProcessor();
PreProcessor.MakeReady(m_PreProcessor);
m_Fuzzifier = new Fuzzifier();
Fuzzifier.MakeReady(m_Fuzzifier);
Fuzzifier.LoadMemberFunctions(m_Fuzzifier, ".\\Fuzzeval.mf");
m_InferenceEngine = new InferenceEngine();
InferenceEngine.MakeReady(m_InferenceEngine);
m_Defuzzifier = new Defuzzifier();
Defuzzifier.MakeReady(m_Defuzzifier);
}
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);
}
}
}