Skip to main content

topsis

Project description

-- coding: utf-8 --

""" Created on Sun Jan 19 17:22:38 2020

@author: arnav """

Example Package

TOPSIS The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision analysis method, which was originally developed by Ching-Lai Hwang and Yoon in 1981 with further developments by Yoon in 1987

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

topsis-101703100-101703100-0.0.1.tar.gz (1.3 kB view details)

Uploaded Source

Built Distribution

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

topsis_101703100_101703100-0.0.1-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file topsis-101703100-101703100-0.0.1.tar.gz.

File metadata

  • Download URL: topsis-101703100-101703100-0.0.1.tar.gz
  • Upload date:
  • Size: 1.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for topsis-101703100-101703100-0.0.1.tar.gz
Algorithm Hash digest
SHA256 6885131144207a8b98aab15a963a5533166c15a7fc5b3b7a35619c04e7f4e205
MD5 7aebc2778d963a9f737238e1cf365e49
BLAKE2b-256 c8cb4a06c2119f95a53d1386f17015e78c1d6d8afb38504b508c92855a5eaffe

See more details on using hashes here.

File details

Details for the file topsis_101703100_101703100-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: topsis_101703100_101703100-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3

File hashes

Hashes for topsis_101703100_101703100-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1502ac475817c46f93afc97e7b35254e188238bc50ad15dce7baef1d01de1cf0
MD5 8edf92ccd6972ca0ef656fe554910ee1
BLAKE2b-256 43555b35e4dd7eef0135500541d1a2b600627184da4b029cbc57ff803adefe6e

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