TOPSIS
Project description
TOPSIS_Divya_101803213
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.
Installation
'''pip install TOPSIS_Divya_101953024'''
How to use it?
Open terminal and type PYTHON TOPSIS along with input file path whose topsis value and rank you wanted to find i.e python TOPSIS "data.csv"
Please make sure to update tests as appropriate. https://github.com/DivyaGoel/TOPSIS-Divya-101953024\#\# License MIT
License
© 2022 Divya Goel This repository is licensed under the MIT license. See LICENSE for details
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
Hashes for TOPSIS-Divya-101953024-1.0.1.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 21e6cf64fedb4c8b9b9c09814883885ce1e73f4b99766dd6f6653f2cdecf25a3 |
|
| MD5 | d9198b4a7224efaa209c22be0a08de82 |
|
| BLAKE2b-256 | 62e26b9309fe4f0dc58c00deab4a2716e345a27269e10177183d8fdd56f05208 |
Hashes for TOPSIS_Divya_101953024-1.0.1-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | aa9a0e540348cfd4e8751fdb9dfcc3e653b5d022816ea9f97e5213ab8be9b172 |
|
| MD5 | 6df00d716f608d1b07d0910598c3329c |
|
| BLAKE2b-256 | 9dbec21621b6c03d47aa687ab49b34f35570106d4b07dade33b1a390cbb78fe0 |
