Skip to main content

Topsis implementation

Project description

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

How to Install

pip install topsis-101803398

How to use it?

Open terminal and type python topsis along with input file path, weight array, impact array and name of output file. for eg.

python topsis test.csv "1,1,2,3,1" "+,-,+,-,-" output.csv

License

© 2022 Harshit Verma 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

topsis-101803398-1.0.3.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

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

topsis_101803398-1.0.3-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file topsis-101803398-1.0.3.tar.gz.

File metadata

  • Download URL: topsis-101803398-1.0.3.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for topsis-101803398-1.0.3.tar.gz
Algorithm Hash digest
SHA256 58b13543014a18f8067dfc7cdb40cfa58f8f347da0b80b7195e6b14cb169091f
MD5 f1e9891a5b93ad19c3e798d8e03c1cf0
BLAKE2b-256 4510ea46e723670fe7c406f456198d2535a686b5d9d4d58db9fc38fe770ebb62

See more details on using hashes here.

File details

Details for the file topsis_101803398-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: topsis_101803398-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for topsis_101803398-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 06b01233670e819ab76b12cb10a62c663a1818086374dbe376dae8f03dd3c3c8
MD5 b075e13bb0190280375dddfa5ae8071d
BLAKE2b-256 02fad02e15a2c1cf41e2c307b29a96a223a85c5a25512a57a68531269f2ed99e

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