TOPSIS

Code by: Sheramir

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## What is TOPSIS

TOPSIS stands for ‘The Technique for Order of Preference by Similarity to the Ideal Solution’ is a 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 run

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

Open Terminal and input the following commands

pip install TOPSIS_Sheramir_101803549

To get started quickly, just use the following:

from TOPSIS_Sheramir_101803549.topsis import topsis
topsis('inputfilename','Weights','Impacts','Outputfilename')

make ensure the weights and impacts should be in ""

eg: "1,1,1,1" and "+,-,+,-"

Pre-requisite

The data should be enclosed in the csv file. There must be more than 2 columns

Result

the output(outputfilename) is saved in the project folder with extra 2 columns with topsis score and rank.

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 Sheramir

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