DSS-EDAS

This repository contains the calculation method of Evaluation Based on Distance From Average Solution (EDAS) for a decision support system implemented in Python programming language.

Run The Program 🐦‍🔥

You can run the program in two ways:

1. Clone the repository

   If you want to run the program on your computer, follow these steps:

   1. Ensure you have Git installed.

   2. Click the Code button in this repository.

   3. Copy the repository URL.

   4. Open a terminal and run the following command:

      git clone https://github.com/FarrelAD/DSS-EDAS.git

   5. Open the project in Jupyter Notebook or any Python environment.

2. Run on Kaggle (Recomended)

   The easiest way to run this program is on Kaggle. You don’t need to set up anything—just open the notebook and run the code with your dataset. Ensure you have a Kaggle account before proceeding.

   Steps:

   1. Access the notebook from this link 👉🏻 https://www.kaggle.com/code/farrelad/dss-edas
   2. Click Open & Edit button

Reporting Issues & Contributions ⚒️

If you find any errors in the EDAS calculations or face any issues, you can:

• Create an issue in this repository.

• Leave a comment on Kaggle.

• Fix the issue yourself and contribute to this project.

  For contributing to GitHub projects, check out the official guide: 👉 https://docs.github.com/en/get-started/exploring-projects-on-github/contributing-to-a-project