Skip to main content

TOPSIS

Project description

TOPSIS-Priyansh

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-priyansh-101803511==1.0.0'''

License

© 2020 priyansh This repository is licensed under the MIT license. See LICENSE for details

Project details


Download files

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

Source Distribution

Priyansh-1.0.0.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Priyansh-1.0.0-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file Priyansh-1.0.0.tar.gz.

File metadata

  • Download URL: Priyansh-1.0.0.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.2

File hashes

Hashes for Priyansh-1.0.0.tar.gz
Algorithm Hash digest
SHA256 1dac8262c2c973bc1de4ee78b892ae855fcac4bf59139568ee52dccd384ad2a7
MD5 ae84cee99dd1a60b8828d8f850a36d09
BLAKE2b-256 cecf1e5168af2828a67031eb5c8a9fd6da5fda3054e025aeccd23a9b01ac0ae7

See more details on using hashes here.

File details

Details for the file Priyansh-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: Priyansh-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.2

File hashes

Hashes for Priyansh-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a99e910607fb25f525ed994379db99cb85d5dd168c13e5052704248c2cd1bc39
MD5 b8654f4a8a436cc188d594b084857a54
BLAKE2b-256 4d9b03ee4666b41e62eabcb549bc9adfde7293aab1cac47fda700ec3eea1fcd0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page