TOPSIS implementation using Python
Project description
TOPSIS Python Package
This package implements the TOPSIS method as a command-line tool.
TOPSIS is a multi-criteria decision-making technique used to rank alternatives based on their distance from an ideal best and an ideal worst solution.
Installation
Install the package from PyPI using:
pip install topsis-kenpreet-102303365
# Usage
topsis <input_file.csv> "<weights>" "<impacts>" <output_file.csv>
# Example
topsis data.csv "1,1,1,1,1" "+,+,-,+,+" result.csv
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_kenpreet_102303365-1.0.2.tar.gz.
File metadata
- Download URL: topsis_kenpreet_102303365-1.0.2.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02864afb16c9c1691f340adaebf41722aa0559a4caac491f54d7f1697738db1e
|
|
| MD5 |
e6909fbf039938b23ed3cb6db3277f99
|
|
| BLAKE2b-256 |
ad8f6b59ee58aadcbdd15b8eab460e9c8d4d433a9f13156a2ca00757d41228f0
|
File details
Details for the file topsis_kenpreet_102303365-1.0.2-py3-none-any.whl.
File metadata
- Download URL: topsis_kenpreet_102303365-1.0.2-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/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8719eaaf7ccd451ef9cea8661c5326dc680db98b834d6b84a19b3498ac85457e
|
|
| MD5 |
e9ae0435dc6c65bd0b0362c1877c2d6d
|
|
| BLAKE2b-256 |
cec1b103ffaea6fd45296b578b397eb551ce3d67f07e7707b5fc2cb41e3aa5a5
|
