TOPSIS implementation as a Python package
Project description
TOPSIS-Charu-102303113
A Python package to implement TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) for ranking alternatives based on multiple criteria.
TOPSIS is a Multi-Criteria Decision Making (MCDM) technique that ranks options by comparing their distance from the ideal best and ideal worst solutions.
✅ Features
- Accepts input data in CSV format
- Supports custom weights and impacts
- Generates output CSV with:
- Topsis Score
- Rank (Rank 1 = best)
✅ Installation
pip install Topsis-Charu-102303113
Project 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
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_charu_102303113-1.0.1.tar.gz.
File metadata
- Download URL: topsis_charu_102303113-1.0.1.tar.gz
- Upload date:
- Size: 2.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
477f90cd0cc8d5cebfe077ba348a7dfc6f6a3e170eaa36bb1cba8396e62e54b8
|
|
| MD5 |
ebc91fb25663c4d292773f62fb4b5c86
|
|
| BLAKE2b-256 |
90840cb99b3572d56244b70d10b914d6c8d8ee246a30e38aa98d692f67f0c291
|
File details
Details for the file topsis_charu_102303113-1.0.1-py3-none-any.whl.
File metadata
- Download URL: topsis_charu_102303113-1.0.1-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3a151ef6cd33016b95da7d0d316f90701feec09d31073e8e2b69508e52890880
|
|
| MD5 |
b07c4dda0598fb99f524a223390a4844
|
|
| BLAKE2b-256 |
9b284489ae4e588706fc0599250963f9bcde69e7447d5e2b09a4c70c79a58208
|