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This package can be used to calculate the topsis score of multiple component data and rank them accordingly

Project description

topsis_pckg

It is a Python package to find out the best value among the different data using the mathematical calculations.

Installation

Use the package manager pip to install this package.

pip install TOPSIS_shobhit_101803372

About

TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those

To get started quickly, just use the following:

from TOPSIS_shobhit_101803372.topsis import topsis
topsis('inputfilename','Weights','Impacts','Outputfilename')

make ensure the weights and impacts should be in ""

eg: "1,1,1,1" and "+,-,+,-"

Pre-requisite

The data should be enclosed in the csv file. There must be more than 2 columns

Result

the output(outputfilename) is saved in the project folder with extra 2 columns with topsis score and rank.

License

MIT

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