public Reproach FindReproach(PairwiseComparisonMatrix matrix)
{
Matrix <double> T = matrix.EmpiricalMatrix();
Matrix <double> delta = matrix.DeltaMatrix();
double sigma = Math.Pow(delta.Variance(), 0.5);
double a = delta.Mean();
var reproach = (from i in Enumerable.Range(0, matrix.Size)
from j in Enumerable.Range(0, matrix.Size)
select new
{
I = i,
J = j,
L = delta[i, j] > a + sigma
? Math.Abs(delta[i, j] - a - sigma)
: delta[i, j] < a - sigma ? Math.Abs(delta[i, j] - a + sigma) : 0
})
.OrderByDescending(e => e.L)
.FirstOrDefault();
if (reproach != null)
{
return(new Reproach(reproach.I, reproach.J));
}
return(null);
}
public Reproach FindReproach(PairwiseComparisonMatrix matrix)
{
int[] ciArray = (from i in Enumerable.Range(0, matrix.Size)
select new
{
Index = i,
CI = _weightsResolutionStrategy.GetConsistencyIndex(matrix.TruncatedMatrix(i))
})
.OrderBy(e => e.CI)
.Select(e => e.Index)
.Take(2)
.ToArray();
if (ciArray.Length == 2)
{
return(new Reproach(ciArray[0], ciArray[1]));
}
return(null);
}
public Reproach FindReproach(PairwiseComparisonMatrix matrix)
{
double[] tempVector;
double[] rowCovariance = new double[matrix.Size];
double[] columnCovariance = new double[matrix.Size];
for (int i = 0; i < matrix.Size; i++)
{
tempVector = new double[matrix.Size];
for (int j = 0; j < matrix.Size; j++)
{
if (i != j)
{
tempVector[j] = matrix.MatrixRow(i).Cov(matrix.MatrixRow(j));
}
}
rowCovariance[i] = tempVector.Mean() * matrix.Size / (matrix.Size - 1);
}
for (int i = 0; i < matrix.Size; i++)
{
tempVector = new double[matrix.Size];
for (int j = 0; j < matrix.Size; j++)
{
if (i != j)
{
tempVector[j] = matrix.MatrixColumn(i).Cov(matrix.MatrixColumn(j));
}
}
columnCovariance[i] = tempVector.Mean() * matrix.Size / (matrix.Size - 1);
}
return(new Reproach(Array.IndexOf(rowCovariance, rowCovariance.Min()),
Array.IndexOf(columnCovariance, columnCovariance.Min())));
}
