TOPSIS-Python

Submitted By: Tushar Verma

What is TOPSIS

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. More details at wikipedia.

How to use this package:

The Topsis-Tushar-402083001 has a function topsis() that takes 4 parameters, i.e., inputFile, weights, impacts, and outputFile, and returns the resulting dataframe having Topsis Score and Rank as additional columns.

Where,

• inputFile: Can be either csv file or pandas dataframe. Input file must contain three or more columns, where, First column is the object/variable name like M1, M2, M3, M4, etc. Also, from 2nd to last columns must contain numeric values only.
• weights: In the form of string having numerical values separated by commas.
• impacts: In the form of string having + or - values separated by commas. Here, + refers to positive impact, whereas, - refers to negative impact.
• outputFile (optional): csv file in which output of the function will be stored.