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
Last synced: 29 days ago
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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.
- Host: GitHub
- URL: https://github.com/farrelad/dss-electre
- Owner: FarrelAD
- Created: 2025-03-24T15:57:17.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-04-15T01:33:45.000Z (about 2 months ago)
- Last Synced: 2025-05-08T02:54:58.468Z (29 days ago)
- Topics: college, decision-support-system, dss, electre, kuliah, math-programming, mcdm, python, school, sistem-pendukung-keputusan
- Language: Jupyter Notebook
- Homepage:
- Size: 204 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DSS-ELECTRE
[](https://github.com/topics/python)
[](https://github.com/topics/pandas)
[](https://github.com/topics/numpy)
[](https://github.com/topics/jupyter-notebook)
[](https://github.com/topics/electre)
[](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