A Python package for implementing the TOPSIS multi-criteria decision analysis method.
Project description
TOPSIS-Python
TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) implementation in Python.
Description
This package provides a simple implementation of the TOPSIS method for multi-criteria decision-making. It allows users to perform a TOPSIS analysis using a CSV file with criteria values, weights, and impacts.
Installation
Install the package via pip (after uploading to PyPI):
pip install topsis-python
Usage
Run from the command line:
python -m topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example:
python -m topsis data.csv "1,2,1,1" "+,+,-,+" result.csv
Example Input File
| C1 | C2 | C3 | C4 |
|---|---|---|---|
| 250 | 16 | 12 | 5 |
| 200 | 16 | 8 | 3 |
| 300 | 32 | 16 | 4 |
| 275 | 24 | 10 | 3 |
Output
| C1 | C2 | C3 | C4 | Topsis Score | Rank |
|---|---|---|---|---|---|
| 250 | 16 | 12 | 5 | 0.63 | 2 |
| 200 | 16 | 8 | 3 | 0.37 | 4 |
| 300 | 32 | 16 | 4 | 0.78 | 1 |
| 275 | 24 | 10 | 3 | 0.52 | 3 |
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