A Python package to implement the TOPSIS method for multi-criteria decision analysis.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for stuts from gravatar.com stuts

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

TOPSIS Package

Overview

This package implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, which is commonly used for decision-making in multi-criteria problems.

Installation

You can install the package via pip:

pip install 102203166-topsis-stuti

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for stuts from gravatar.com stuts

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

0.1.1

0.1.0

Download files

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

Source Distribution

102203166_topsis_stuti-0.1.1.tar.gz (2.1 kB view details)

Uploaded Source

Built Distribution

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

102203166_topsis_stuti-0.1.1-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file 102203166_topsis_stuti-0.1.1.tar.gz.

File metadata

  • Download URL: 102203166_topsis_stuti-0.1.1.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for 102203166_topsis_stuti-0.1.1.tar.gz
Algorithm Hash digest
SHA256 a3ac5f2682110335384a311d6116b8478ea32edad7ed87c19d91e7be5e6358ee
MD5 c280cc5a90da272bf254c4e34b02fb04
BLAKE2b-256 ae34efaea2b65b8ada4a2795396b30e538796de2f21aab910e8b74c6d45665c1

See more details on using hashes here.

File details

Details for the file 102203166_topsis_stuti-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for 102203166_topsis_stuti-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d40b6f01e1c42f2d0e35a9919a7602a538bf42b35df94a8e19362664ca488563
MD5 024ec5a45426ed13eb65d3644d93fd4e
BLAKE2b-256 fe2faa4a57bcf153f38e80558848374f687d3c6ff475fdd10544a29be1e13843

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