The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).
- .NET 6 and .NET Standard 2.0
- Easy to use
double[] data = new double[,]
{
{ 66, 56, 95 },
{ 61, 55, 166 },
{ 65, 49, 113 },
{ 95, 56, 99 },
{ 63, 43, 178 },
{ 74, 59, 140 },
};
Weights are discribed by double precision numbers ∈<0,1>, and they have to sum to 1
.
double[] weights = new double[]
{
0.4,0.25,0.35
};
Types are discribed by two integer numbers -1
(cost) and 1
(profit).
int[] types = new int[]
{
-1,-1,1
};
The final result of the calculation is Result<Vector<double>>
.
This object contains information about the success or failure of the operation.
Before obtaining the Value
from the result object, it is necessary to check that no errors have occurred.
var matrix = new[,]
{
{3, 6, 4, 20, 2, 30000 },
{4, 4, 6, 15, 2.2, 32000 },
{6, 5, 9, 18, 3, 32100 },
{5, 6, 3, 23, 2.8, 28000 },
{4, 8, 7, 30, 1.5, 29000 },
{8, 3, 6, 35, 1.9, 27000 },
{7, 2, 5, 33, 1.7, 28500 },
{3, 8, 3, 34, 1.6, 30500 },
{8, 4, 8, 40, 2.5, 33000 },
{9, 3, 7, 34, 2, 29800 }
};
double[] weights = [0.1,0.2,0.1,0.2,0.1,0.3];
int[] types = [1,1,1,-1,-1,-1];
var data = new DataProviderBuilder()
.AddWeights(weights)
.AddDecisionCriteria(types)
.AddDecisionMatrix(matrix)
.Build();
var vikor = MethodFactory.CreateVikor(new VikorOptions()
{
NormalizationMethod = NormalizationMethod.Vector,
VikorParameters = VikorParameters.Create(0.5)
});
var vikorResult = vikor.Run(data);
var scores = vikorResult
.Value.Q;