Submitted By: Aparna Sood

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

It is a package for Multiple-criteria decision-making using TOPSIS. Requires input file,weights and impacts. Returns a data frame which has score and rank of every label. This package helps improve decision-making.

pip install Topsis-Aparna-102016091

import Topsis_Aparna_102016091 as ap 
ap.topsisscore(inputfilename.csv , weights , impacts , outputfilename.csv)

• weights and impacts provided as parameters should be separated by comma(,) and equal to number of columns.
• weights should only contain numeric values
• the categorical column should either be dropped or enginnered into a numerical column

Take care of these and you are ready to go.

The output (outputfilename.csv) is saved as csv file, with extra two columns of topsis score and rank. Rank 1 signifies best decision.

Pull requests are welcome!!

inputfilename.csv

weights = "1,1,1,1,1"

impacts = "+,-,+,-,+"

outputfilename.csv