TOPSIS-Python

Submitted By: BHAWIKA ARORA 101803532

pypi: https://pypi.org/project/TOPSIS-Bhawika-101803532
git: https://github.com/Bhawika16/TOPSIS-Bhawika-101803532

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-Bhawika-101803532 can be run as in the following example:

In Command Prompt

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

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.

Weights (w) is not already normalised will be normalised later in the code.

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