102217106-topsis 1.0.0

A simple TOPSIS implementation package.

TOPSIS Package

Overview

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

Features

• User-friendly functionality to perform the TOPSIS method on decision matrices.

• Allows customization of weights for each criterion.

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

• Provides preference scores and rankings for alternatives.

  Parameters: data (list of lists): The decision matrix (alternatives x criteria). weights (list): Weights assigned to each criterion. impacts (list): Use '+' for beneficial criteria and '-' 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 102217106_topsis