A simple TOPSIS implementation package.
Project description
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
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Easy to use function to perform the TOPSIS method on decision matrices.
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Accepts customizable weights for each criterion.
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Supports both beneficial and non-beneficial criteria (impacts).
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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
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