semvec/pypi-packages huggingface dataset:
Topsis-Drishti-102016102 0.4
topsis
License: MIT
Keywords: topsis

Project description
TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) came in the 1980s as a multi-criteria-based decision-making method. TOPSIS chooses the alternative of shortest the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution.

TOPSIS is a way to allocate the ranks on basis of the weights and impact of the given factors:.

Weights mean how much a given factor should be taken into consideration
Impact means that a given factor has a positive or negative impact.
This tool allows you to calculate the topsis ranking and save the results in the form of a csv (Comma Seperated Value) file.

Installing Package
pip install Topsis-Drishti-102016102
Using the TOPSIS tool
Create a script by importing the package and just calling the TOPSIS function.
import importlib
topsis=importlib.import_module("Topsis_Drishti_1016102")
topsis.TOPSIS()
Run the Script through command line as shown below:
C:/Users/admin> python myscript.py <Data_File_csv> <Weights(Comma_seperated)> <Impacts(Comma_seperated)> <Result_file_csv>