private ArrayList GetAltVector(MulticriterionProblemMethods.DataTypes.Alternative alt)
{
ArrayList result = new ArrayList();
foreach (MulticriterionProblemMethods.DataTypes.Criterium crit in mMatrix.Criteriums)
{
result.Add(mMatrix[alt.Name, crit.Name]);
}
return(result);
}
private bool AlternativeValidation(MulticriterionProblemMethods.DataTypes.Alternative alt)
{
foreach (MulticriterionProblemMethods.DataTypes.Criterium crit in alt.Criteriums)
{
if (mMatrix[alt.Name, crit.Name] <= limit)
{
return(false);
}
}
return(true);
}
private string GetAltComponents(MulticriterionProblemMethods.DataTypes.Alternative alt)
{
StringBuilder builder = new StringBuilder();
bool isFirst = true;
foreach (MulticriterionProblemMethods.DataTypes.Criterium crit in alt.Criteriums)
{
if (!isFirst)
{
builder.Append(" ,");
}
builder.Append(mMatrix[alt.Name, crit.Name].ToString());
isFirst = false;
}
return(builder.ToString());
}
private MulticriterionProblemMethods.DataTypes.Alternative[] Maximize(double[] temp)
{
List <Alternative> altsRes = new List <Alternative>();
Dictionary <int, ArrayList> vects = new Dictionary <int, ArrayList>();
Dictionary <int, double> marks = new Dictionary <int, double>();
ArrayList vectCount = new ArrayList();
int i = 0;
foreach (MulticriterionProblemMethods.DataTypes.Alternative alt in mMatrix.Alternatives)
{
ArrayList altVect = GetAltVector(alt);
if (i > temp.Length - 1)
{
break;
}
ArrayList newVect = Mult(temp[i], altVect);
vects.Add(i++, newVect);
}
foreach (KeyValuePair <int, ArrayList> vect in vects)
{
marks.Add(vect.Key, SumVect((ArrayList)vect.Value));
}
ArrayList indeces = GetMaxValMarks(marks);
foreach (int j in indeces)
{
MulticriterionProblemMethods.DataTypes.Alternative alt = mMatrix.GetAlternativeByIndex(j);
if (AlternativeValidation(alt))
{
altsRes.Add(alt);
}
}
return(altsRes.ToArray());
}
