TOPSIS-Arindam-101816003 0.0.1

Python package for implementing TOPSIS method.

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.

Model	Correlation	R2	RMSE	Accuracy
M1	0.79	0.62	1.25	60.89
M2	0.66	0.44	2.89	63.07
M3	0.56	0.31	1.57	62.87
M4	0.82	0.67	2.68	70.19
M5	0.75	0.56	1.3	80.39

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