Topsis-Parv-101916073

How to install this package:

>> pip install Topsis-Parv-101916073

In Command Prompt

>> 101916073.csv "1,1,1,1" "+,+,-,+" 101916073-output.csv

Input file (101916073.csv)

Fund Name,P1,P2,P3,P4,P5 M1,0.94,0.88,4.3,38.4,11.13 M2,0.91,0.83,3.8,41.2,11.69 M3,0.9,0.81,4.2,55.1,15.25 M4,0.95,0.9,6.8,41.7,12.59 M5,0.87,0.76,3.2,45.6,12.61 M6,0.74,0.55,3.8,42.7,11.95 M7,0.9,0.81,4.2,45.8,12.93 M8,0.95,0.9,5.8,66.6,18.56

Weights (weights) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in impacts.

Output file (101916073-output.csv)

Fund Name,P1,P2,P3,P4,P5,Topsis Score,Rank M1,0.3703773853298929,0.7662610281769211,0.9814214453951509,1.1328853878160308,1.4539015109686293,0.5710689895607338,6 M2,0.3585568304789389,0.7227234697577778,0.8673026726747846,1.2154916140109497,1.5270537882500697,0.6004095869971899,2 M3,0.3546166455286209,0.7053084463901206,0.9585976908510776,1.62557252262144,1.9920932652535126,0.5719171749702168,5 M4,0.3743175702802109,0.7836760515445784,1.5520153089969826,1.230242725831471,1.6446199481666703,0.4290754887375844,8 M5,0.3427960906776668,0.6617708879709773,0.7303601454103449,1.3453013980315365,1.6472325294981502,0.6376691772167611,1 M6,0.2915736863235327,0.4789131426105757,0.8673026726747846,1.2597449494725135,1.5610173455593097,0.5854706385131984,4 M7,0.3546166455286209,0.7053084463901206,0.9585976908510776,1.351201842759745,1.6890338308018307,0.5863020877858557,3 M8,0.3743175702802109,0.7836760515445784,1.32377776355625,1.9648480944934281,2.424475475613455,0.4451087354476525,7