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102203551-topsis

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A Python package to implement the TOPSIS decision-making method.

Versions collected1
Direct dependencies2From release 1.0.5
Last observed20 Oct, 15:08 UTC

README

Version 1.0.5 documentation

TOPSIS Package

Overview

This project implements a Python package for performing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is a multi-criteria decision-making (MCDM) approach used to rank and select among various alternatives based on their distances from an ideal and a negative-ideal solution.


Features

  • Accepts CSV input files with multi-criteria data.
  • Supports user-defined weights and impacts for each criterion.
  • Outputs a ranked list based on the TOPSIS evaluation.
  • Error handling for invalid input files, weights, and impacts.

Installation

pip install 102203551-topsis

Usage

Run the package from the command line:

Syntax

python -m topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

Example

python -m topsis 102203551-data.csv "1,1,1,2,3" "+,+,-,+,+" 102203551-result.csv

Parameters

  • <InputDataFile>: Path to the CSV file containing the decision matrix.
  • <Weights>: Comma-separated weights for each criterion (e.g., 1,2,1,1).
  • <Impacts>: Comma-separated impacts for each criterion (+ for benefit, - for cost).
  • <ResultFileName>: Name of the output file where results will be saved.

Downloads & popularity

1downloads
1-day window · source-reported counts19 Oct 2026
1890
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22 Jul19 Oct

pypistats · 58 observations shown. Missing days are unknown. Source category: overall: without mirrors.

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Versions 1

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VersionPublishedDirect dependenciesOpen version
1.0.519 Jan 20252

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aryanz01/topsis-python-package

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package:0c1e464b28f4bc8a6058bfb5deb6d59b427402295680055a7db3d3373e5491d6