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1.0.5

PyPI

102203551-topsis

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

Published19 Jan 2025

Direct dependencies2

Transitive dependenciesNot calculated

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.

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Declared dependencies 2

Native requirements

2 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pandas Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`pandas>=1.0.0`	runtime
numpy Environment { "extras": "", "marker": null, "requires_python": "", "evaluation": "NOT_EVALUATED" }	`numpy>=1.18.0`	runtime