A python package to predict the rank of a MCDMP using topsis
Project description
ABOUT RANK PREDICTOR
It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion.
NAME :- Mehak Garg
ROLL NO :- 101883054
GROUP :- 3CO23
INSTALLATION
The package can be installed using the following command in anaconda/command prompt.
pip install Rank_Predictor_101883054
USAGE
The package can be used for topsis analysis by providing dataset,weights,impacts.
topsis <dataset.csv> <[weights]> <[impacts]>
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