Topsis-Vanshaj-102003346 0.1.2

Calculates Topsis Score and Rank them accordingly

TOPSIS

How to use The package Topsis-Vanshaj-102003346 can be run though the command line as follows:

pip install Topsis-Vanshaj-102003346 python topsis data.csv "1,1,1,1,1" "+,-,+,-,+" result.csv Sample Input

Fund Name P1 P2 P3 P4 P5 M1 0.85 0.72 7 37.3 11.47 M2 0.67 0.45 5.5 58.2 16.21 M3 0.83 0.69 3.9 68.3 18.43 M4 0.83 0.69 3.9 42.7 12.03 M5 0.71 0.5 3.2 57.9 15.58 M6 0.94 0.88 4.7 46.6 13.28 M7 0.68 0.46 7 41.4 12.39 M8 0.95 0.9 6.5 33.8 10.54

Output of this sample input The output that will be generated from the following input data will be:

Fund Name P1 P2 P3 P4 P5 Topsis Score Rank M1 0.85 0.72 7 37.3 11.47 0.606515477 2 M2 0.67 0.45 5.5 58.2 16.21 0.571404528 3 M3 0.83 0.69 3.9 68.3 18.43 0.411429976 8 M4 0.83 0.69 3.9 42.7 12.03 0.435972941 6 M5 0.71 0.5 3.2 57.9 15.58 0.436800052 5 M6 0.94 0.88 4.7 46.6 13.28 0.422424787 7 M7 0.68 0.46 7 41.4 12.39 0.66149433 1 M8 0.95 0.9 6.5 33.8 10.54 0.530809186 4

The output file contains columns of input file along with two additional columns having Topsis_score and Rank . Here the ranks are given as rank 1 is the best solution according to the weights and impacts given and rank 8 is the worst solution.