TOPSIS Implementation

Overview

This Python package provides a straightforward implementation of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision-making. With this tool, you can rank alternatives based on multiple criteria using weights and impacts for each criterion.

Features

• Easy-to-use command-line interface.
• Supports customizable weights and impacts for criteria.
• Outputs a ranked list of alternatives with TOPSIS scores.
• Handles CSV input and output for seamless integration with data workflows.

Usage

Command-Line Interface

To execute TOPSIS, use the following command:

python topsis.py <input_file> <weights> <impacts> <output_file>

Arguments

• <input_file>: Path to the CSV file containing the input data. The first column should contain alternative names, and subsequent columns should contain numerical criteria values.
• <weights>: Comma-separated weights for each criterion (e.g., 1,2,3).
• <impacts>: Comma-separated impacts for each criterion (+ for benefit criteria, - for cost criteria, e.g., +, -, +).
• <output_file>: Path to the CSV file where the results will be saved.

Example

Suppose you have the following input file (data.csv):

To rank the alternatives with weights 1,1,1 and impacts +, +, -, run:

python topsis.py data.csv 1,1,1 +,+,- results.csv

The output (results.csv) will include the TOPSIS scores and ranks:

Input File Requirements

• The input file must be a CSV with at least three columns.
• The first column should contain the names of the alternatives.
• The remaining columns should contain numerical values for criteria.

Output File

The output file will contain the original data along with two additional columns:

• Topsis Score: The calculated TOPSIS score for each alternative.
• Rank: The rank of each alternative based on the TOPSIS score (1 = best).

Error Handling

The package validates inputs and raises errors for:

• Input files with fewer than three columns.
• Mismatched lengths of weights or impacts compared to the criteria.
• Invalid impact values (must be + or -).

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

Contact

For questions or feedback, please contact [aryan10767@gmail.com.com].