TOPSIS-Akash Sehgal-101803431

Submitted By: Akash Sehgal(101803431)

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.

Installation

Use the package manager pip to install TOPSIS. Dependencies and devDependencies will be installed automatically.

pip install TOPSIS-Akash-101803431

Usage

1) As a Library:

Import in your python File:

from TOPSIS import topsis
topsis()

Run the python file by typing in terminal/cmd:

python nameOfFile.py nameOfDataFile.csv "weights" "impacts" nameOfOutputFile.csv

2) Using Command Promt:

Command line args:

• name of input File(csv format)
• weights(as a string)
• impacts(as a string)
• name of output file(csv format) Eg.

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

Input file (data.csv)

The decision matrix 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 (weights) is not already normalised will be normalised later in the code.

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

Output file (output.csv)

The output file contains columns of input file along with two additional columns having Topsis_score and Rank

License

MIT