A Python package to find TOPSIS for multi-criteria decision analysis method
Project description
TOPSIS-Python
Submitted By: Sanyam Goyal 102297005
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.
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