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https://github.com/farrelad/dss-electre

This repository contains the calculation method of Elimination Et Choix Traduisant la Réalité (ELECTRE) for a decision support system implemented in Python.
https://github.com/farrelad/dss-electre

college decision-support-system dss electre kuliah math-programming mcdm python school sistem-pendukung-keputusan

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This repository contains the calculation method of Elimination Et Choix Traduisant la Réalité (ELECTRE) for a decision support system implemented in Python.

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# DSS-ELECTRE

[![Python](https://img.shields.io/badge/Python-3776AB?style=flat&logo=python&logoColor=white)](https://github.com/topics/python)
[![Pandas](https://img.shields.io/badge/Pandas-150458?style=flat&logo=pandas&logoColor=white)](https://github.com/topics/pandas)
[![NumPy](https://img.shields.io/badge/NumPy-013243?style=flat&logo=numpy&logoColor=white)](https://github.com/topics/numpy)
[![Jupyter Notebook](https://img.shields.io/badge/Jupyter_Notebook-F37626?style=flat&logo=jupyter&logoColor=white)](https://github.com/topics/jupyter-notebook)
[![ELECTRE](https://img.shields.io/badge/ELECTRE-0080FF?style=flat)](https://github.com/topics/electre)
[![DSS](https://img.shields.io/badge/DSS-FF5F1F?style=flat)](https://github.com/topics/decision-support-system)

This repository contains an implementation of the Elimination Et Choix Traduisant la Réalité (ELECTRE) method for a decision support system using Python. The implementation is based on ELECTRE II, which helps in multi-criteria decision-making.

# 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:

```bash
git clone https://github.com/FarrelAD/DSS-ELECTRE.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](https://www.kaggle.com/). 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.

# Reporting Issues & Contributions ⚒️

If you find any errors in the ELECTRE 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