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.

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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.

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Installation

pip install 102203551-topsis

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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. =======

topsis-python-package

published on pypi.org