A package for python implemetation of TOPSIS method for multiple criteria decision making
Project description
It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file TOPSIS-Aasdeep-101803529-0.01.tar.gz.
File metadata
- Download URL: TOPSIS-Aasdeep-101803529-0.01.tar.gz
- Upload date:
- Size: 1.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0478df8132d4e627655bc6c9e66a47480128ade37667d2fbc4b0a91a0f54f83
|
|
| MD5 |
3bf9c19445ab99c229fbafe8aeba8008
|
|
| BLAKE2b-256 |
48a3fe68100f77f5dbdc7f04b1d3aa6a824264156f932ea078f59f5d9019afd3
|
