TOPSIS-Python

Submitted By: Arindam Sharma

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:

>> topsis data.csv "1,1,1,1" "+,+,-,+" output.csv

Sample dataset

The decision matrix (a) should be provided with more than two columns and should be in .csv format.

Weights (w) and impacts (either + or -) should also be provided alogn with.

Output

The output comes out in a csv file as the format given below :

Model | Correlation | R<sup>2</sup> | RMSE | Accuracy | Topsis Score | Rank
------------ | ------------- | ------------ | ------------- | ------------
M1 |	0.79 | 0.62	| 1.25 | 60.89 | 0.639133 | 2
M2 |  0.66 | 0.44	| 2.89 | 63.07 | 0.212592 | 5
M3 |	0.56 | 0.31	| 1.57 | 62.87 | 0.407846 | 4
M4 |	0.82 | 0.67	| 2.68 | 70.19 | 0.519153 | 3
M5 |	0.75 | 0.56	| 1.3	 | 80.39 | 0.828267 | 1