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.

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

Output

Model Score Rank

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