TOPSIS Package
Overview
The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is a widely used multi-criteria decision analysis (MCDA) technique designed to evaluate and rank alternatives based on multiple criteria. This Python package offers a straightforward implementation of the TOPSIS method.
Features
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User-friendly functionality to perform the TOPSIS method on decision matrices.
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Allows customization of weights for each criterion.
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Supports both beneficial and non-beneficial criteria (impacts).
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Provides preference scores and rankings for alternatives.
Parameters: data (list of lists): The decision matrix (alternatives x criteria). weights (list): Weights assigned to each criterion. impacts (list): Use '+' for beneficial criteria and '-' for non-beneficial criteria.
Returns: list: Preference scores for each alternative. list: Ranks of each alternative.
Installation
You can install the Topsis Package using pip from PyPI.
From PyPI:
Install the package using pip:
pip install 102217106_topsis
1 maintainer
Metadata
1 maintainer
Release files for 102217106-topsis 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| 102217106_topsis-1.0.0.tar.gz | 2.1 kB | Without provenance | Details for 102217106_topsis-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| 102217106_topsis-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for 102217106_topsis-1.0.0-py3-none-any.whl |
Total release size: 4.5 kB
Release files / 102217106_topsis-1.0.0.tar.gz
| Download URL | 102217106_topsis-1.0.0.tar.gz |
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| Size | 2.1 kB |
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Release files / 102217106_topsis-1.0.0-py3-none-any.whl
| Download URL | 102217106_topsis-1.0.0-py3-none-any.whl |
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| Size | 2.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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