TOPSIS-SuvidhaSrivastava-102103019 0.1.0

Python package for implementing TOPSIS technique.

TOPSIS

Submitted By: Suvidha Srivastava

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What is TOPSIS?

The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) emerged in the 1980s as a method for making decisions involving multiple criteria. TOPSIS selects an alternative based on its proximity to the ideal solution, measured by the shortest Euclidean distance, and its distance from the negative-ideal solution, measured by the greatest distance.

How to install this package:

>> pip install TOPSIS-SuvidhaSrivastava-102103019

In Command Prompt

>> topsis data.csv "1,1,2,1" "+,+,-,+" result.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.

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 (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 (result.csv)

Model	Correlation	R2	RMSE	Accuracy	Topsis_score	Rank
M1	0.79	0.62	1.25	60.89	0.849592	2
M2	0.66	0.44	2.89	63.07	0.143187	5
M3	0.56	0.31	1.57	62.87	0.597633	3
M4	0.82	0.67	2.68	70.19	0.364575	4
M5	0.75	0.56	1.3	80.39	0.877204	1

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