topsis-kartik-102003565 1.0.1

topsis

TOPSIS Package in Python

Submitted by: Kartik Madan

Roll no: 102003565

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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-kartik-102003565 can be run though the command line as follows:

>> pip install topsis-kartik-102003565

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

Sample Input

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.

Fund Name	P1	P2	P3	P4
M1	250	16	12	5
M2	200	16	8	3
M3	300	32	16	4
M4	275	32	8	4
M5	225	16	16	2

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.

Sample Output

The output that generated from the following input will be:

Model	P1	P2	P3	P4	Topsis Score	Rank
M1	250	16	12	5	0.534277	3
M2	200	16	8	3	0.308368	5
M3	300	32	16	4	0.691632	1
M4	275	32	8	4	0.534737	2
M5	225	16	16	2	0.401046	4

The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank** . Here the ranks are given as rank 1 is the best solution according to the weights and impacts given and rank 5 is the worst solution.

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