Skip to main content

Python library for Multi-Criteria Decision-Making

Project description

PyMCDM

This repo contains several methods which can be useful for solving MCDA problems.

MCDA methods:

  • TOPSIS
  • VIKOR
  • COPRAS
  • PROMETHEE I and II
  • COMET
  • SPOTIS

Weighting methods:

  • Equal weights
  • Entropy method
  • Std method

Normalization methods:

  • Linear
  • Max
  • Sum
  • Vector
  • Logarithmic

Correlation coefficients:

  • Spearman
  • Pearson
  • Weighted Spearman
  • Rank Similarity Coefficient
  • Kendall Tau
  • Goodman and Kruskal Gamma

Helpers

  • rankdata

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

pymcdm-1.0.2.tar.gz (116.9 kB view details)

Uploaded Source

Built Distribution

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

pymcdm-1.0.2-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file pymcdm-1.0.2.tar.gz.

File metadata

  • Download URL: pymcdm-1.0.2.tar.gz
  • Upload date:
  • Size: 116.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.0.post20201221 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

File hashes

Hashes for pymcdm-1.0.2.tar.gz
Algorithm Hash digest
SHA256 9ea01ab97d516f7954ae244c77e1bd19d1e84ec53a3034787f0ae37596c61fa6
MD5 5790300e86f88545dfcb413bbee0a200
BLAKE2b-256 e260e59ca6163fa2b78b7ff392c05977fa39f967e4728e6df171d2c438e354b2

See more details on using hashes here.

File details

Details for the file pymcdm-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: pymcdm-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.0.post20201221 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

File hashes

Hashes for pymcdm-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 42311a215d2089729c51b2d47924c2537b70de6d5e7a463450cd01886ea70ea6
MD5 c634204b60b876381461116c7b2a5cff
BLAKE2b-256 b76201039d5a27072caff0027d04f83e477d74dd102f9af323cb3b5438ab1660

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