TOPSIS (Python)

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is 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 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.

Authors

• Pragya Nainwal 101903503

Deployment

In command prompt

  pip install Topsis-Pragya-101903503

In Python Ide

from topsis_pragya import Topsis
Topsis.topsis("data.csv","1,1,1,1,2","+,-,+,-,+","result.csv")

The rankings are displayed in the form of a table using a package 'tabulate', with the 1st rank offering us the best decision, and last rank offering the worst decision making, according to TOPSIS method.