This is a Python library for handling problems related to Multiple Criteria Decision Making(MCDM)
Project description
TOPSIS
Title: TOPSIS method for multiple-criteria decision making (MCDM).
Version: 1.0.1.
Author: Shubham Malhotra.
Description: Evaluation of alternatives based on multiple criteria using TOPSIS method.
How to install this package:
>> pip install Topsis-Shubham-102003109
In Command Prompt
>> topsis 102003109-data.csv "1,2,1,2,1" "+,+,-,-,+" resultdata.csv
Input file (data.csv)
| Model | Correlation | R^2 | RMSE | Accuracy |
|---|---|---|---|---|
| P1 | 0.79 | 0.62 | 1.25 | 60.89 |
| P2 | 0.66 | 0.44 | 2.89 | 63.07 |
| P3 | 0.56 | 0.31 | 1.57 | 62.87 |
| P4 | 0.82 | 0.67 | 2.68 | 70.19 |
| P5 | 0.75 | 0.56 | 1.3 | 80.39 |
Output file (result.csv)
| Model | Correlation | R^2 | RMSE | Accuracy | Topsis_score | Rank |
|---|---|---|---|---|---|---|
| P1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.7722 | 2 |
| P2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.2255 | 5 |
| P3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.4388 | 4 |
| P4 | 0.82 | 0.67 | 2.68 | 70.19 | 0.5238 | 3 |
| P5 | 0.75 | 0.56 | 1.3 | 80.39 | 0.8113 | 1 |
The output file contains columns of input file along with two additional columns having Topsis_score and Rank
TOPSIS
Title: TOPSIS method for multiple-criteria decision making (MCDM).
Version: 1.0.1.
Author: Shubham Malhotra.
Description: Evaluation of alternatives based on multiple criteria using TOPSIS method.
How to install this package:
>> pip install Topsis-Shubham-102003109
In Command Prompt
>> topsis 102003109-data.csv "1,2,1,2,1" "+,+,-,-,+" resultdata.csv
Input file (data.csv)
| Model | Correlation | R^2 | RMSE | Accuracy |
|---|---|---|---|---|
| P1 | 0.79 | 0.62 | 1.25 | 60.89 |
| P2 | 0.66 | 0.44 | 2.89 | 63.07 |
| P3 | 0.56 | 0.31 | 1.57 | 62.87 |
| P4 | 0.82 | 0.67 | 2.68 | 70.19 |
| P5 | 0.75 | 0.56 | 1.3 | 80.39 |
Output file (result.csv)
| Model | Correlation | R^2 | RMSE | Accuracy | Topsis_score | Rank |
|---|---|---|---|---|---|---|
| P1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.7722 | 2 |
| P2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.2255 | 5 |
| P3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.4388 | 4 |
| P4 | 0.82 | 0.67 | 2.68 | 70.19 | 0.5238 | 3 |
| P5 | 0.75 | 0.56 | 1.3 | 80.39 | 0.8113 | 1 |
The output file contains columns of input file along with two additional columns having Topsis_score and Rank
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