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1.0.1

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102217109-topsis

A simple TOPSIS implementation package.

Published18 Jan 2025
Direct dependencies1
Transitive dependenciesNot calculated

README

Version 1.0.1 documentation

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

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Package / targetRequirementRelationship
numpy
Environment
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  "marker": null,
  "requires_python": ">=3.6",
  "evaluation": "NOT_EVALUATED"
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numpyruntime

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102217109_topsis-1.0.1-py3-none-any.whl

bdist_wheel · 2.32 KB · Python py3

Source file
102217109_topsis-1.0.1.tar.gz

sdist · 2.04 KB · Python source

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package_version:5d5eb55ecbc74dc2d99f37daf38ede6325de170a32e731a728440774dc2ea45f

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