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1.0.0

PyPI

102203201-simrat

It gives the topsis analysis of your csv file with score and rankings.

Published19 Jan 2025

Direct dependencies2

Transitive dependenciesNot calculated

README

Version 1.0.0 documentation

TOPSIS-Package Simrat(102203201)

Overview TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) technique. This Python package helps you evaluate alternatives based on multiple criteria by calculating the TOPSIS score and ranking them accordingly.

With this package, you can:

Input your dataset in CSV format.
Specify weights for each criterion.
Define whether each criterion is beneficial (+) or non-beneficial (-).
Obtain a ranked CSV file as output with TOPSIS scores.

Installation

Install the package using pip install 102203201-simrat

Input Parameters

Input CSV File: Path to your dataset in CSV format. The dataset must have at least three columns: The first column should contain the names of the alternatives. The subsequent columns should contain numeric values for criteria.
Weights: Comma-separated numeric values representing the weight of each criterion.
Impacts: Comma-separated values (+ or -) indicating whether each criterion is beneficial (+) or non-beneficial (-).
Output CSV File Name: Desired file name for the output CSV containing TOPSIS scores and rankings.

License

This package is licensed under the MIT License.

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Declared dependencies 2

Native requirements

2 direct targetsNot calculated transitive count

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