TOPSIS implementation for multi-criteria decision making
Project description
Topsis-Suhani-102313038
Description
This package implements the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for multi-criteria decision making.
Installation
pip install Topsis-Suhani-102313038
Usage
Enter csv file name with .csv extension, then enter weights (comma separated), followed by impacts '+' or '-' (comma separated), and csv file where result is to be stored.
python -m topsis_suhani_102313038.topsis input.csv "1,1,1,1" "+,-,+,+" output.csv
Input Format
-
CSV file with alternatives and criteria
-
Weights must be comma-separated
-
Impacts must be + or -
Output
- Topsis Score
- Ranking
License
This project is licensed under the MIT License. License
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_suhani_102313038-1.0.1.tar.gz.
File metadata
- Download URL: topsis_suhani_102313038-1.0.1.tar.gz
- Upload date:
- Size: 2.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
994438c192b1ef7d540bdac24ffcce533e21ab7361632c4b48eb66fb3e0b04ad
|
|
| MD5 |
ab4a690789437219cfebb83c93186e7a
|
|
| BLAKE2b-256 |
4488b625aa615fc2a10403c7041ec9d42b718aa0ee2ef104765aa23c4f7462b6
|
File details
Details for the file topsis_suhani_102313038-1.0.1-py3-none-any.whl.
File metadata
- Download URL: topsis_suhani_102313038-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a6fc042467a833142ac47f263e2e314cff277915bfbd7d247c9a564c2e0e3c1
|
|
| MD5 |
c7bf8e9123514c78c4d656604fa09ec7
|
|
| BLAKE2b-256 |
bd28c8f2e4b4906ad5beb88a581d909ba474127c4ed87d5744325d438b79cf02
|
