public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
for ( int i = 1; i < 26; i++ )
if ( board.GetPiecesAt( i ) > 0 )
result.CrispValue = i;
return result;
}
public LinguisticInputValue[] Process(BoardRepresentation board)
{
LinguisticInputValue[] result = new LinguisticInputValue[m_PreProcessorObjects.Count];
for (int i = 0; i < m_PreProcessorObjects.Count; i++)
{
result[i] = (( PreProcessingObject )m_PreProcessorObjects[i]).CreateLinguisticInputValue(board);
}
return(result);
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
bool opponentFound = false;
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
for ( int i = 0; i < 26; i++ )
{
if ( board.GetPiecesAt( i ) < 0 )
{
opponentFound = true;
}
if ( board.GetPiecesAt( i ) > 0 && opponentFound )
{
result.CrispValue = 1;
break;
}
}
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), board.BearOffCountCurrent() );
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), -board.GetPiecesAt( 0 ) );
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
float r = 0.0f;
for ( int i = 1; i < 25; i++ )
{
if ( board.GetPiecesAt( i ) == 1 )
{
bool[,] possibleDices = new bool[6,6];
for ( int x = 0; x < 6; x++ )
for ( int y = 0; y < 6; y++ )
possibleDices[x,y] = false;
for ( int j = 0; j < i; j++ )
if ( board.GetPiecesAt( j ) < 0 )
CalculateHitProbability( i, j, board, possibleDices );
int waysToBeHit = 0;
for ( int x = 0; x < 6; x++ )
for ( int y = 0; y < 6; y++ )
if ( possibleDices[x,y] )
waysToBeHit++;
float p = ( ((float)waysToBeHit) / 36.0f ) * 100;
r += ((24.0f - ((float)i-1))/24.0f) * p;
}
}
if ( r > 50.0f )
r = 50.0f;
result.CrispValue = (int)Math.Round( r, 0 );
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
int currentConsecutiveOwned = 0;
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
for ( int i = 1; i < 25; i++ )
{
if ( board.GetPiecesAt( i ) > 1 )
{
currentConsecutiveOwned++;
if ( currentConsecutiveOwned > result.CrispValue )
result.CrispValue = currentConsecutiveOwned;
}
else
{
currentConsecutiveOwned = 0;
}
}
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
int ownPips = 0;
for ( int i = 0; i < 26; i++ )
if ( board.GetPiecesAt( i ) > 0 )
ownPips += i * board.GetPiecesAt( i );
int opponentPips = 0;
for ( int i = 0; i < 26; i++ )
if ( board.GetPiecesAt( i ) < 0 )
opponentPips += ( 25 - i ) * ( -board.GetPiecesAt( i ) );
int r = opponentPips - ownPips;
if ( r > 50 )
r = 50;
if ( r < -50 )
r = -50;
result.CrispValue = r;
return result;
}
public override LinguisticInputValue CreateLinguisticInputValue( BoardRepresentation board )
{
LinguisticInputValue result = new LinguisticInputValue( GetName(), 0 );
for ( int i = 25; i > 0; i-- )
{
if ( board.GetPiecesAt( i ) > 0 )
{
result.CrispValue = board.GetPiecesAt( i );
break;
}
}
return result;
}
public FuzzifiedValueContainer Fuzzificate( LinguisticInputValue[] inputs )
{
FuzzifiedValueContainer result = new FuzzifiedValueContainer();
for ( int i = 0; i < inputs.Length; i++ )
{
MfInterface[] memberFunc = GetMembershipFunctions( inputs[i].VariableName );
if ( memberFunc != null )
{
for ( int j = 0; j < memberFunc.Length; j++ )
{
FuzzifiedValue fuzzyVal = new FuzzifiedValue( memberFunc[j].VariableName(), memberFunc[j].TermName(), memberFunc[j].FuzzifieValue( inputs[i].CrispValue ) );
result.Add( fuzzyVal );
}
}
else
{
LogWriter.Write( "Could not fuzzificate " + inputs[i].VariableName );
}
}
return result;
}
public LinguisticInputValue[] Process( BoardRepresentation board )
{
LinguisticInputValue[] result = new LinguisticInputValue[m_PreProcessorObjects.Count];
for ( int i = 0; i < m_PreProcessorObjects.Count; i++ )
result[i] = ( ( PreProcessingObject )m_PreProcessorObjects[i] ).CreateLinguisticInputValue( board );
return result;
}
