Python implementation of TOPSIS for multi-criteria decision-making
Project description
TOPSIS Assignment
Python implementation of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) algorithm for multi-criteria decision-making.
Installation
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file topsis_102203511-1.0.0.tar.gz.
File metadata
- Download URL: topsis_102203511-1.0.0.tar.gz
- Upload date:
- Size: 2.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
52eb81fa72555e851c69ca9c618138f5fbb91b53ea8dad224e1216f39e4c164b
|
|
| MD5 |
74b671df05ff3af354a90ba81d0cff75
|
|
| BLAKE2b-256 |
d2c409b4d81adfdd3226a936b5b4e1ba007b5e10fef084f95546aeebe936584e
|
File details
Details for the file topsis_102203511-1.0.0-py3-none-any.whl.
File metadata
- Download URL: topsis_102203511-1.0.0-py3-none-any.whl
- Upload date:
- Size: 2.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a4f8f53cc599895eb96a880d7483dc53c02c7df46547928931af987b10a7bce
|
|
| MD5 |
26697f917b7d7da809e04c04225f7b6a
|
|
| BLAKE2b-256 |
54aae52e9979f6d9d47ffb5a4f9b0b23e482fdcdc8616af3adae742c0fc0507f
|
