semvec/pypi-packages huggingface dataset:
Topsis-Kinjal-102003532 1.4.0
It evaluates alternatives based on multiple criteria using TOPSIS method


Project description
TOPSIS
Author: Kinjal Goyal.

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.4.0

Date: 2022-1-22

Maintainer: Kinjal Goyal kgoyal1_be20@thapar.edu.

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method

What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution.

TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution,

and greatest distance from the negative-ideal solution.


In Command Prompt

python topsis.py 102003532-data.csv “1,1,1,1,1” “+,-,+,-,+” 102003532-result.csv
topsis-aaryan-102003541 1.0.0
topsis implementation
Requires Python: >=3.6

# Topsis Module
Implementation of MCDM using topsis in python

## How to use it?
Open terminal and type "aaryan" followed by input_dataset(in csv), weights(comma separated), impacts(comma separated) and resulting_dataset_name(in csv) as shown below

(aaryan Test.csv 1,1,1,1,1 +,+,+,+,+ out.csv)

"USAGE :aaryan <input_file_name>.csv <weights>(1,1,1,1) <impacts>(+,+,-,+) <output_file_name>.csv"

## License

Ⓒ 2023 Aaryan Jain

This repository is licensed under the MIT license.
See LICENSE for details