# Topsis
TOPSIS is based on the fundamental premise that the best solution has the shortest distance from the positive-ideal solution, and the longest distance from the negative-ideal one. Alternatives are ranked with the use of an overall index calculated based on the distances from the ideal solutions.
It takes 4 arguments :
1.Data.csv file
2.Weights
3.Impacts
4.Result file
Returns file with Topsis Score and Rank
## How to use it?
Open terminal and type pip install Topsis-samanvay-102103315
To get started quickly, just use the following:
from topis_pckg.topsis import topsis
topsis('inputfilename','Weights','Impacts','Outputfilename')
make ensure the weights and impacts should be in ""
eg: "1,1,1,1,1" and "+,-,+,-,+"
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"description": "# Topsis\r\n\r\nTOPSIS is based on the fundamental premise that the best solution has the shortest distance from the positive-ideal solution, and the longest distance from the negative-ideal one. Alternatives are ranked with the use of an overall index calculated based on the distances from the ideal solutions.\r\n\r\nIt takes 4 arguments :\r\n1.Data.csv file\r\n2.Weights\r\n3.Impacts\r\n4.Result file\r\n\r\nReturns file with Topsis Score and Rank\r\n\r\n## How to use it?\r\n\r\nOpen terminal and type pip install Topsis-samanvay-102103315\r\n\r\nTo get started quickly, just use the following:\r\n\r\nfrom topis_pckg.topsis import topsis\r\ntopsis('inputfilename','Weights','Impacts','Outputfilename')\r\nmake ensure the weights and impacts should be in \"\"\r\n\r\neg: \"1,1,1,1,1\" and \"+,-,+,-,+\"\r\n",
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