TOPSIS-Python
What is TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.
How to use this package:
TOPSIS-RaghavSharma-101803688 can be run as in the following example:
In command prompt:
>> TOPSIS data.csv "1,1,2,1" "+,-,+,-" result.csv
Sample Dataset
Model Correlation R2 RMSE Accuracy
M1 0.79 0.62 1.25 60.89
M2 0.66 0.44 2.89 63.07
M3 0.56 0.31 1.57 62.87
M4 0.82 0.67 2.68 70.19
M5 0.75 0.56 1.3 80.39
Output
Model Score Rank
----- -------- ----
1 0.77221 2
2 0.225599 5
3 0.438897 4
4 0.523878 3
5 0.811389 1
Release files for TOPSIS-RaghavSharma-101803688 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| TOPSIS_RaghavSharma_101803688-1.0.tar.gz | 1.9 kB | Details |
Release files / TOPSIS_RaghavSharma_101803688-1.0.tar.gz
| Download URL | TOPSIS_RaghavSharma_101803688-1.0.tar.gz |
|---|---|
| Size | 1.9 kB |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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