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Quick example

1️⃣ Define the Decision Matrix​

Each row represents an alternative, and each column corresponds to a criterion.

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

2️⃣ Prepare Weights​

They must be double values between 0 and 1, and must sum to 1

double[] weights = new double[]
{
    0.4, 0.25, 0.35
};

3️⃣ Define Criteria Types​

Each criterion is marked as either a cost (-1) or a benefit (1).

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

4️⃣ Build the Data Object​

var data = new DataProviderBuilder()
    .AddWeights(weights)
    .AddDecisionCriteria(types)
    .AddDecisionMatrix(matrix)
    .Build();

5️⃣ Create MCDA method​

var vikor = MethodFactory
    .CreateVikor(new VikorOptions())

6️⃣ Run​

var result = vikor.Run(data);