A python package that helps you run TOPSIS (technique for order performance by similarity to ideal solution) for multi-criteria decision making
Project description
Topsis Score and Rank Calculator
I have created a Python package implementing Topsis(Technique for Order of Preference by Similarity to Ideal Solution) method used for multi-criteria decision analysis.
you just need to provide your input attributes using the command line and it will give you the results which will be displayed both on console and stored in a csv file provided as the last argument.
Installation
$ pip install TOPSIS-102017191==0.0.2
In the commandline, you can run it in the following ways - $ python <package_name> <result_file_name>
E.g for input data file as data.csv, command will be like $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv
This will print all the output attribute values along with the Topsis Core and Rank column, in a tabular format
License -> MIT
Change Log
0.0.1 (22/01/2023)
- First Release
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
File details
Details for the file Topsis-Saksham-102017191-0.0.2.tar.gz
.
File metadata
- Download URL: Topsis-Saksham-102017191-0.0.2.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13158d8c429bf61a0de28dad69f76710e74f1d76e6655b69be62ab833bfe0322 |
|
MD5 | c6c4de410ba35dde795c0d81a777d600 |
|
BLAKE2b-256 | 7eb59ae0de28d91e3b73d5252ca46b71240bb9ad737d8a7aee07363d15a7d5e3 |
Provenance
File details
Details for the file Topsis_Saksham_102017191-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: Topsis_Saksham_102017191-0.0.2-py3-none-any.whl
- Upload date:
- Size: 2.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d525f07a7f146bcd83f00827a8b945cdbe16aaf8473f37a3d564242cd85abe82 |
|
MD5 | 268fe167b81b963fc0732065384ab554 |
|
BLAKE2b-256 | 9410da5dd290c373a528228a72719c21886662477640e573bbd225b97ff8e300 |