Metadata-Version: 2.1
Name: Topsis-Saksham-102017191
Version: 0.0.2
Summary: A python package that helps you run TOPSIS (technique for order performance by similarity to ideal solution) for multi-criteria decision making
Home-page: https://github.com/sakshamsood3/Topsis-Saksham-102017191
Author: Saksham Sood
Author-email: ssood2_be20@thapar.edu
License: MIT
Keywords: Topsis,TIET,UCS654,Thapar,implement topsis
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE

Topsis Score and Rank Calculator

I have created a Python package implementing Topsis(Technique for Order of Preference by Similarity to Ideal Solution) method used for multi-criteria decision analysis.


you just need to provide your input attributes using the command line and it will give you the results which will be displayed both on console and stored in a csv file provided as the last argument.


## Installation

$ pip install TOPSIS-102017191==0.0.2

In the commandline, you can run it in the following ways -
    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>

E.g for input data file as data.csv, command will be like
    $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Topsis Core and Rank column, in a tabular format

License -> MIT


Change Log
==========

0.0.1 (22/01/2023)
------------------
- First Release
