Project description

TOPSIS-Abhishek-101803463

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.

Installation

'''pip install TOPSIS-Abhishek-101803463==1.0.1'''

License

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

This version

1.0.1

Nov 13, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Abhishek-1.0.1.tar.gz (2.9 kB view hashes)

Uploaded Nov 13, 2020 Source

Built Distribution

Abhishek-1.0.1-py3-none-any.whl (4.1 kB view hashes)

Uploaded Nov 13, 2020 Python 3

Hashes for Abhishek-1.0.1.tar.gz

Hashes for Abhishek-1.0.1.tar.gz
Algorithm	Hash digest
SHA256	`58c0df0a5d0df29bbde0de8a2161670e050de1a45fb71c084f259c3fa1dbd66a`
MD5	`ad2acfea0924bf9a3e51f54015d9f398`
BLAKE2b-256	`89d8bfd0aba4fbeb9f332f69188025f104b6936e0e588cd3842a43fa63a4bbb6`

Hashes for Abhishek-1.0.1-py3-none-any.whl

Hashes for Abhishek-1.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`f270e460bc11957e48af105a534576850b794e34153ad13a0fcf7124e675a52f`
MD5	`c11ca5f463e92026ecf566ed2d04e0de`
BLAKE2b-256	`b3d629eeee521435c731d46ba7409751867a84f88dcbb8944fc6ff1ecb63315e`