ELECTRE Tri-B

by Christian Ghiaus (Researcher ID: ORCID, SciProfiles, Scopus, Web of Science, HAL)

ELECTRE Tri-B is a Multiple-Criteria Decision-Making (MCDM) method for sorting alternatives into predefined categories defined by lower and upper boundaries.

This repository contains a Python implementation of ELECTRE Tri-B, along with explanatory materials and example data.

Repository contents

ELECTRE_Tri-master
├── data
├── docs
│   ├── explanation
│   ├── how_to_guide
│   ├── reference
│   └── tutorials
├── examples
│   └── ELECTRE_Tri
│       ├── data
│       ├── ELECTRE_Tri_1.ipynb
│       └── ELECTRE_Tri_2.ipynb
│       └── ELECTRE_Tri_2.ipynb
├── src
│   ├── __init__.py
│   ├── ELECTRE_Tri_B.py
│   └── Simos_revised.py
├── LICENSE
├── README.md
├── environment.yml
└── requirements.txt

Python module, explanations and examples for:

• ELECTRE_Tri/: Mulitple-Criteria Decision-Making.
• Simos_revised/: Simos' method for determining weights of criteria in ELECTRE type methods.

Usage

1. Launch binder.
2. Upload your data file (which describes the ELECTRE Tri or the weighing problem) in data/ folder.
3. Run the notebook to get the results.