| Name | Version | Summary | date |
| Topsis-102017182-sandhya-goyal |
1.0.0 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 18:45:31 |
| Topsis-Kriti-102017079 |
1.4 |
A convenient python package for Topsis rank and score calculation for a given dataset, weights and impacts |
2023-01-21 14:32:24 |
| topsis-Ananya-102017024 |
1.0.0 |
This program uses command line arguments to implement Topsis : a Multi-Criteria Decision Ananlysis (MCDA) method |
2023-01-21 12:43:36 |
| Topsis-Mayank-102016012 |
0.0.4 |
Topsis package for MCDM problems |
2023-01-21 11:35:45 |
| Topsis-Keshav-Garg-102017064 |
0.0.1 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 10:04:56 |
| Topsis-Keshav-102017064 |
0.0.1 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 09:57:55 |
| Ekas-topsis-102017078 |
1.0.0 |
A Python package implementing TOPSIS for MCDM |
2023-01-21 07:51:13 |
| TOPSIS-Brahmjot-102003736 |
0.0.1 |
TOPSIS-Ranking Algorithm for Multiple Criteria Decision Making |
2023-01-20 21:10:31 |
| TOPSIS-Arjun-102003742 |
0.0.10 |
TOPSIS-Ranking Algorithm for MUltiple Criteria Decision Making |
2023-01-19 16:34:32 |
| Topsis-Ankita-102017120 |
0.1 |
Topsis-Ankita-102017120 is a Python library for handling problems related to Multiple Criteria Decision Making(MCDM) |
2023-01-19 14:30:02 |
| Topsis-Amrita-102017017 |
1.0.0 |
A command line tool to perform TOPSIS, a multi-criteria decision making technique |
2023-01-18 17:53:13 |