Topsis-Aditya-102103546 1.0.8

This Python script implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) algorithm.

TOPSIS - Technique for Order Preference by Similarity to Ideal Solution

Introduction

This Python script implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) algorithm. TOPSIS is a multi-criteria decision-making method that helps in ranking a set of alternatives based on their proximity to the ideal solution.

Prerequisites

• Python 3
• pandas
• numpy

Installation

pip install Topsis_Aditya_102103546

Running the Script in Editor

Run the TOPSIS script in IDE using the following format:

from Topsis import __main__

__main__.TOPSIS(input_file,weights,impacts,output_file)

• <input_file>: Path to the CSV file containing the input data.
• <weights>: Weights for each criterion separated by commas.
• <impacts>: Impacts for each criterion, either '+' or '-'.
• <output_file>: Path to the CSV file where the result will be saved.

Input Format

The input file should be a CSV file with the first column representing the alternatives and the following columns representing different criteria. Atleast 3 columns shall be present.

Output

The script generates a CSV file with the TOPSIS scores and ranks for each alternative.

License

(c) 2024 Aditya Vashishta

This project is licensed under the MIT License.