TOPSIS Package

Overview

The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is a multi-criteria decision analysis (MCDA) technique used to evaluate and rank alternatives based on multiple criteria. This Python package provides a simple implementation of the TOPSIS method.

Features

• Easy to use function to perform the TOPSIS method on decision matrices.

• Accepts customizable weights for each criterion.

• Supports both beneficial and non-beneficial criteria (impacts).

• Returns preference scores and ranks for the alternatives.

  Parameters: data (list of lists): Decision matrix (alternatives x criteria). weights (list): List of weights for each criterion. impacts (list): '+' for beneficial, '-' for non-beneficial criteria.

  Returns: list: Preference scores for each alternative. list: Ranks of each alternative.

Installation

You can install the Topsis Package using pip from PyPI.

From PyPI:

Install the package using pip:

pip install 102217109_topsis