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
Copyright (c) 2024 Simrat Kaur
This package is licensed under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for 102203201-simrat 1.0.0
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