Topsis-Lovish-101803496 1.2.3

Implements Topsis

TOPSIS

Code by: Lovish Gupta

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What is TOPSIS

TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA(Multi-Criteria Decision Analysis) method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those.multi-criteria decision analysis(MCDA) method. It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion.

How to Use This Package

Before running, make sure you have pandas installed on your system

Open Command Prompt and input the following commands

pip install Topsis-Lovish-101803496

python

from topsis.topsispac import topsis topsis("data.csv","1,1,1,2","+,+,-,+","output.csv")

Sample Input

This input was used to test the module

Model	Corr	Rseq	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

Output

Model	Corr	Rseq	RMSE	Accuracy	Topsis Score	Rank
M1	0.79	0.62	1.25	60.89	0.639133	2.0
M2	0.66	0.44	2.89	63.07	0.212592	5.0
M3	0.56	0.31	1.57	62.87	0.407846	4.0
M4	0.82	0.67	2.68	70.19	0.519153	3.0
M5	0.75	0.56	1.3	80.39	0.828267	1.0

License

© 2020 Lovish Gupta

This repository is licensed under the MIT license. See LICENSE for details.