Metadata-Version: 2.1
Name: topsis-Simar-102117028
Version: 1.0.0
Summary: topsis implementation
Home-page: 
Author: simarjit Kaur Khangura
Author-email: skhangura_be21@thapar.edu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Topsis
TOPSIS( Technique for order for preference by similarity to Ideal solution ) for MCDM (Multiple criteria decision making) in Python compiled by Simarjit Kaur Khangura, 102117028, TIET, Patiala.

## Installation
Use the package manager pip to install.

pip install topsis-Simar-102117028

## Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and enter the output file name followed by .csv extension.

topsis-simar-102117028 [InputDataFile as .csv] [Weights as a string] [Impacts as a string] [ResultFileName as .csv]

## License
Ã‚Â© 2024 Simarjit Kaur Khangura

This repository is licensed under MIT License. See LICENSE for details.
