private AvgLinguisticInputResult[] GetAverageInput(BoardRepresentation[] boards)
{
AvgLinguisticInputResult[] result = new AvgLinguisticInputResult[m_Controller.PreProcessorCount()];
LinguisticInputValue[] inValues = m_Controller.ObtainCrispInput(boards[0]);
for (int i = 0; i < inValues.Length; i++)
{
result[i] = new AvgLinguisticInputResult(inValues[i].VariableName, ( double )inValues[i].CrispValue);
}
for (int i = 1; i < boards.Length; i++)
{
inValues = m_Controller.ObtainCrispInput(boards[i]);
for (int j = 0; j < inValues.Length; j++)
{
result[j].CrispValue += ( double )inValues[j].CrispValue;
}
}
for (int i = 0; i < result.Length; i++)
{
result[i].CrispValue = result[i].CrispValue / ( double )boards.Length;
}
return(result);
}
private AvgLinguisticInputResult[] GetAverageInput( BoardRepresentation[] boards )
{
AvgLinguisticInputResult[] result = new AvgLinguisticInputResult[m_Controller.PreProcessorCount()];
LinguisticInputValue[] inValues = m_Controller.ObtainCrispInput( boards[0] );
for ( int i = 0; i < inValues.Length; i++ )
result[i] = new AvgLinguisticInputResult( inValues[i].VariableName, ( double )inValues[i].CrispValue );
for ( int i = 1; i < boards.Length; i++ )
{
inValues = m_Controller.ObtainCrispInput( boards[i] );
for ( int j = 0; j < inValues.Length; j++ )
result[j].CrispValue += ( double )inValues[j].CrispValue;
}
for ( int i = 0; i < result.Length; i++ )
result[i].CrispValue = result[i].CrispValue / ( double )boards.Length;
return result;
}
