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A python package to predict the rank of a MCDMP using topsis

Project description


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


The package can be installed using the following command in anaconda/command prompt.

pip install Rank_Predictor_101883054


The package can be used for topsis analysis by providing dataset,weights,impacts.

topsis <dataset.csv> <[weights]> <[impacts]>

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