topsis-Kushagra-101917112 0.1

A Python package implementing TOPSIS technique.

TOPSIS-Python

Submitted By: Kushagra 101917112

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-Kushagra 101917112 can be run as in the following example:

In Command Prompt

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

Sample dataset

The decision matrix (a) should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R², Root Mean Squared Error, Correlation, and many more.

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

Information of benefit positive(+) or negative(-) impact criteria should be provided in I.

Output

Model Score Rank

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1 0.77221 2 2 0.225599 5 3 0.438897 4 4 0.523878 3 5 0.811389 1