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The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).

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MCDA Toolkit

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Introduction

The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).

Key feature

  • .NET 6 and .NET Standard 2.0
  • Easy to use

Dependencies

Calculation process

Prepare data matrix

double[] data = new double[,]
{
    { 66, 56, 95 },
    { 61, 55, 166 },
    { 65, 49, 113 },
    { 95, 56, 99 },
    { 63, 43, 178 },
    { 74, 59, 140 },
};

Prepare weights matrix

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
};

Prepare types matrix

Types are discribed by two integer numbers -1(cost) and 1(profit).

int[] types = new int[]
{
    -1,-1,1
};

Run calculation

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;

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The MCDA Toolkit is a lightweight .NET tool designed for Multi-Criteria Decision Analysis (MCDA).

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