A Python package to evaluate ranks of a Multiple Criteria Decision Making Problem(MCDM) using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)
Project description
Project UCS633
Name Kriti Pandey
Roll no 101703292
Group 3COE13
Installation
Use the package manager pip to install TOPSIS-ANALYSIS-kriti.
pip install TOPSIS-ANALYSIS-kriti
Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)
TOPO_101703292 data.csv [1,1,1,1] [+,+,-,+]
Sample dataset
TOPO_101703292 PhotogenicFace.csv [1,1,1,1,1] [+,-,+,+,+]
| ID | EYES | NOSE | FOREHEAD | LIPS | CHIN |
|----|------|------|----------|-------|------|
| S1 | 0.79 | 0.62 | 1.25 | 60.89 | 11 |
| S2 | 0.66 | 0.44 | 2.89 | 63.07 | 20 |
| S3 | 0.56 | 0.31 | 1.57 | 62.87 | 16 |
| S4 | 0.82 | 0.67 | 2.68 | 70.19 | 16 |
| S5 | 0.75 | 0.56 | 1.3 | 80.39 | 20 |
Result
Topsis Selection of DATA
Model | Rank
_______________
1 | 5
2 | 1
3 | 3
4 | 2
5 | 4
_______________
Constraint
Your csv file should not have categorical data
License
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