TOPSIS-Vedant-101803329 1

Topsis Calculator

TOPSIS Package in Python

Submitted by: Vedant Gupta

Roll no: 101803329

UCS538

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Concept of TOPSIS

TOPSIS is an acronym that stands for Technique of Order Preference Similarity to the Ideal Solution and is a pretty straightforward MCDA 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.

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How to use

The package TOPSIS-Vedant-101803329 can be run though the command line as follows:

>> pip install TOPSIS-Vedant-101803329==1

>> python
>>>from topsis_cal.topsiscode import topsis
>>>topsis("data.csv","1,1,1,2","+,+,-,+")

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.

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 (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.

Output

Model   Score    Rank
-----  --------  ----
  1    0.639133    2
  2    0.212592    5
  3    0.407846    4
  4    0.519153    3
  5    0.828267    1

The rankings are displayed in the form of a table using a package 'tabulate', with the 1st rank offering us the best decision, and last rank offering the worst decision making, according to TOPSIS method.