Topsis-Piyush-102217003 0.1.0

A Python package for implementing Topsis method

Topsis-Piyush-102217003

A Python package for implementing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision-making method.

---

Installation

Install the package from PyPI:

pip install Topsis-Piyush-102217003

Usage

Input

The package expects a CSV file with the following structure:

The first row contains column headers. The first column contains alternative names. The subsequent columns contain numerical values for different criteria. Output The result will include the following:

Topsis Score: A score for each alternative. Rank: Ranking of the alternatives based on the score.

Explanation of Parameters:

"data.csv": Input CSV file path. "1,1,1": Weights for each criterion. "+,+,-": Impact of each criterion (+ for beneficial, - for non-beneficial). "result.csv": Output CSV file path.

Features

Handles both beneficial and non-beneficial criteria. Scalable to multiple alternatives and criteria. Provides normalized scores for accurate decision-making.

Dependencies

Ensure you have the following Python libraries installed (they will be auto-installed via pip):

numpy pandas

Contributing

Contributions are welcome! Please follow these steps:

Fork the repository. Create a new branch for your feature or bug fix. Submit a pull request.

Acknowledgments

Inspired by the Topsis method for decision-making. Developed by Piyush Garg.