TOPSIS-SANYAM-GOYAL-102297005 0.0.1

A Python package to find TOPSIS for multi-criteria decision analysis method

TOPSIS-Python

Submitted By: Sanyam Goyal 102297005

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What is TOPSIS

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), is a decision-making method used in multi-criteria decision analysis. It is a mathematical technique that helps in ranking and selecting the best alternative from a set of options based on their proximity to an ideal solution. Check out more information here:wikipedia.

How to use this package:

TOPSIS-SANYAM_GOYAL-102297005 can be run as in the following example:

In Command Prompt to run the code:

python topsis input_data.csv "1,1,1,1" "+,+,-,+" output_data.csv

Sample dataset

The decision matrix (a) should be constructed with each row representing a ID, and each column representing a criterion like Features

ID	Feature1	Feature2	Feature3	Feature4
1	2	5	8	3
2	3	6	9	4
3	5	8	2	7
4	6	9	3	8

Output

ID,Feature1,Feature2,Feature3,Feature4,Topsis Score,Rank
1,2,5,8,3,0.33629008441513597,3
2,3,6,9,4,0.26542732311540135,4
3,5,8,2,7,0.7345726768845987,1
4,6,9,3,8,0.6637099155848639,2

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.