TOPSIS implementation
Project description
TOPSIS
TOPSIS 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.
Function
performTopsis(dataframe,weight,impact)
Parameters:
DataFrame : Pandas DataFrame on which TOPSIS is to be applied
weight : python string, numeric values separated by comma
impact : python string, + or - separated by comma
Return Value:
pandas DataFrame containing addition columns - TOPSIS score and TOPSIS rank
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