semvec/pypi-packages huggingface dataset:
Topsis-102017172-Mannat 0.0.1
Topsis score calculator
License: MIT
Requires Python: >=3.7
Keywords: topsis,rank,topsis score

Topsis_102017172_Mannat

Home-page: https://github.com/Mannat7/Topsis_102017172

Author: Mannat

Author-email: mannat7873@gmail.com

License: MIT

Description: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. 
             TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.
        This is a package to find topsis score and rank of a dataframe with only numerical values.
        TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method.

Command Line Usage :
    >>python 102017172.py "data_102017172.csv" "1,1,1,2" "+,+,+,-" "result_102017172.csv"
Topsis-Ishan-102003410 0.1
Implements topsis on the given input data file and generates topsis score and ranks accordingly.
License: MIT

Topsis implementation in python. Used as a command line tool to generate topsis score and ranks of the given input data file along with weights and impacts.

Installation
pip install Topsis-Ishan-102003410

How to use it?
Open the terminal / cmd and type topsis <input_filename.csv> <"Weights"> <"Impacts"> <output_filename.csv>

License
Â© 2023 Ishan

This repository is licensed under the MIT license. See LICENSE for details.