This package allows you to run The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) on your dataset for Multiple Attribute Decision Making(MADM)'
Project description
topsis_pckg
It is a Python package to find out the best value among the different data using the mathematical calculations.
Installation
Use the package manager pip to install this package.
pip install TOPSIS_Pranshu_101803102
About
TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those
To get started quickly, just use the following:
from topis_pckg.topsis import topsis
topsis('inputfilename','Weights','Impacts','Outputfilename')
make ensure the weights and impacts should be in ""
eg: "1,1,1,1" and "+,-,+,-"
Pre-requisite
The data should be enclosed in the csv file. There must be more than 2 columns
Result
the output(outputfilename) is saved in the project folder with extra 2 columns with topsis score and rank.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
License
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-Pranshu-101803102-0.0.1.tar.gz.
File metadata
- Download URL: TOPSIS-Pranshu-101803102-0.0.1.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e7616db7905582537fffa7326f91835964903ea88e2f0ac1109ff8b14db25217
|
|
| MD5 |
baa91aec1ea62f8709a4034c26ca8514
|
|
| BLAKE2b-256 |
accb4989a1c81f6986c9b7547c5a69c797785c33da7224dfe9501c30f8e87792
|
File details
Details for the file TOPSIS_Pranshu_101803102-0.0.1-py3-none-any.whl.
File metadata
- Download URL: TOPSIS_Pranshu_101803102-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e845e8150a575bd3b73ad359024987b43fc088ed4fbe76c3f4682a3a7193843b
|
|
| MD5 |
e4287dc38c77778afa8dc552ebfe393a
|
|
| BLAKE2b-256 |
5ab17d3b91ca905ded8272f2fa0b7d8544d768692f0884596e453a6169c43c7e
|