TOPSIS Implementation in Python
A Python implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision-making problems. This package processes an input dataset, calculates the TOPSIS scores, and ranks alternatives based on their scores.
Installation
You can install this package directly from PyPI:
pip install 102203584
Usage
Command-Line Interface
Run the script using the following format:
python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>
Arguments:
-
InputDataFile: Path to the input .csv file containing the dataset. -The first column should contain the names of the alternatives. -The remaining columns should contain numeric criteria values.
-
Weights: Comma-separated values representing the importance of each criterion.
-
Impacts: Comma-separated values (+ or -) indicating whether the criterion is beneficial (+) or non-beneficial (-).
-
ResultFileName: Name of the output .csv file where the results (TOPSIS scores and ranks) will be saved
Dependencies
This package requires the following Python libraries: -pandas -numpy
License
This repository is licensed under the MIT license. See LICENSE for details.
1 maintainer
Metadata
1 maintainer
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