topsisx 0.1.3

A Python library for Multi-Criteria Decision Making (TOPSIS, AHP, VIKOR, Entropy, etc.)

TOPSISX 📊

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TOPSISX is a Python library for multi-criteria decision-making (MCDM) using methods like TOPSIS, AHP, Entropy Weighting, and VIKOR. It also supports PDF report generation and visualizations.

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🚀 Features

• 📈 TOPSIS: Rank alternatives based on weighted criteria.
• 📊 AHP: Calculate weights using Analytic Hierarchy Process.
• 📋 Entropy Weighting: Objective weight calculation.
• 📑 PDF Reports: Generate professional reports of results.
• 🖼️ Visualizations: Plot graphs for better insights.

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📦 Installation

Install the package from PyPI:

pip install topsisx

⚡ Quick Start
Here’s how you can use topsisx in your project:

python
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from topsisx.topsis import topsis

# Sample data
data = [
    [250, 16, 12, 5],
    [200, 16, 8, 3],
    [300, 32, 16, 4],
    [275, 32, 8, 4],
    [225, 16, 16, 2]
]

weights = [0.25, 0.25, 0.25, 0.25]
impacts = ['+', '+', '-', '+']

ranked = topsis(data, weights, impacts)
print(ranked)
📖 Documentation
Go to topsisx.readthedocs.io (Coming Soon 🚧)

👨‍💻 Contributing
We welcome contributions! Please open an issue or pull request on GitHub.


📝 License
This project is licensed under the MIT License.