public void loadDynamicUI()
{
flowLayoutPanel1.Controls.Clear();
List <CriteriaWeight> criteriaWeightList = criteriaWeightController.getCriteriaWeightListName(currentTopicId);
for (int i = 0; i < criteriaWeightList.Count; i++)
{
int countUC = flowLayoutPanel1.Controls.Count + 1;
int criteriaWeightId = criteriaWeightList.ElementAt(i).criteriaWeightId;
int criteria1Id = criteriaWeightList.ElementAt(i).criteria1Id;
int criteria2Id = criteriaWeightList.ElementAt(i).criteria2Id;
string criteria1Name = criteriaWeightList.ElementAt(i).criteria1Name;
string criteria2Name = criteriaWeightList.ElementAt(i).criteria2Name;
double importanceLevel = criteriaWeightList.ElementAt(i).importanceLevel;
PairwiseComparisonUserControl pairwiseComparisonUserControl = new PairwiseComparisonUserControl(countUC, criteriaWeightId, criteria1Id, criteria2Id, criteria1Name, criteria2Name, importanceLevel);
pairwiseComparisonUserControl.Parent = flowLayoutPanel1;
flowLayoutPanel1.Controls.Add(pairwiseComparisonUserControl);
}
}
public double[] criteriaPriorityVector(string topicId)
{
// 1. Pairwise Comparison Matrix
// 1.1. Get list of criteria Id for mapping
List <int> criteriaIdList = new List <int>();
foreach (Criteria criteria in criteriaController.getCriteriaList(topicId))
{
criteriaIdList.Add(criteria.criteriaId);
}
int countCriteria = criteriaIdList.Count;
// 1.2. Mapping criteriaId to index
Dictionary <int, int> criteriaId2Idx = new Dictionary <int, int>();
for (int i = 0; i < countCriteria; i++)
{
criteriaId2Idx.Add(criteriaIdList.ElementAt(i), i);
}
// 1.3. Create list of data for each criteria weight
// [[criteria1id, criteria2id, importancelvl], [criteria1id, criteria2id, importancelvl], ...]
List <List <double> > cwData = new List <List <double> >();
foreach (CriteriaWeight criteriaWeight in criteriaWeightController.getCriteriaWeightListName(topicId))
{
int criteria1Id = criteriaWeight.criteria1Id;
int criteria2Id = criteriaWeight.criteria2Id;
double importanceLevel = criteriaWeight.importanceLevel;
int criteria1Idx, criteria2Idx;
criteriaId2Idx.TryGetValue(criteria1Id, out criteria1Idx);
criteriaId2Idx.TryGetValue(criteria2Id, out criteria2Idx);
cwData.Add(new List <double>()
{
criteria1Idx, criteria2Idx, importanceLevel
});
}
// 1.4. Prepare blank matrix with value 1 in main diagonal
double[][] pcMatrix = new double[countCriteria][];
for (int i = 0; i < countCriteria; i++)
{
pcMatrix[i] = new double[countCriteria];
for (int j = 0; j < countCriteria; j++)
{
if (i == j)
{
pcMatrix[i][j] = 1;
}
}
}
// 1.5. Fill other value in matrix
foreach (List <double> cw in cwData)
{
int criteria1Idx = Convert.ToInt32(cw.ElementAt(0));
int criteria2Idx = Convert.ToInt32(cw.ElementAt(1));
double importanceLevel = cw.ElementAt(2);
pcMatrix[criteria1Idx][criteria2Idx] = importanceLevel;
pcMatrix[criteria2Idx][criteria1Idx] = 1 / importanceLevel;
}
// 2. Normalize Matrix
double[][] normalizedPcMatrix = cloneMatrix(pcMatrix, countCriteria);
// 2.1. Sum by Column
double[] colSum = new double[countCriteria];
for (int i = 0; i < countCriteria; i++)
{
double tempSum = 0;
for (int j = 0; j < countCriteria; j++)
{
tempSum += pcMatrix[j][i];
}
colSum[i] = tempSum;
}
// 2.2. Divide each cell by sum of the column
for (int i = 0; i < countCriteria; i++)
{
for (int j = 0; j < countCriteria; j++)
{
normalizedPcMatrix[i][j] = normalizedPcMatrix[i][j] / colSum[j];
}
}
// 3. Calculate Priority Vector
double[] priorityVec = new double[countCriteria];
for (int i = 0; i < countCriteria; i++)
{
double tempSum = 0;
for (int j = 0; j < countCriteria; j++)
{
tempSum += normalizedPcMatrix[i][j];
}
priorityVec[i] = tempSum / countCriteria;
}
return(priorityVec);
}