McdaToolkit 4.0.0-rc1

MCDA Toolkit

🧭 Introduction

MCDA Toolkit is a lightweight and flexible .NET library designed to support Multi-Criteria Decision Analysis (MCDA) processes. It helps developers and analysts structure, evaluate, and solve decision-making problems.

🚀 Key Features

🧩 .NET 6 and .NET Standard 2.0 Compatibility Fully compatible with both .NET 6 and .NET Standard 2.0, ensuring support for a wide range of application

🧠 Simple and Intuitive API Built with a fluent interface that makes setup fast and readable. Easily configure decision-making data with minimal code and maximum clarity.

⚡ Quick Integration Plug-and-play design means you can get started in seconds. No complex setup or learning curve—just import and go.

Documentation

Make sure to read the docs for the full API.

Dependencies

• Math.Net Numerics
• Light Results

Quick Example

Here's a simple example to show how to prepare and structure your data for an MCDA calculation using the MCDA Toolkit.

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);

Outcome

The result of the calculation is returned as an object of type Result<T>, provided by the LightResults library. This structure not only contains the output data Value, but also encapsulates information about whether the operation failed or succeed.

Before accessing the Value property of the result object, it is essential to verify that the operation completed successfully. Attempting to access the value without this check may throw InvalidOperationException

This approach follows the principles of Railway Oriented Programming, a functional programming pattern that models the flow of data along two possible tracks — one for success and one for failure.

More about Result type can be readed on official LightResult documentation