Skip to main content

Scikit-Criteria is a collections of algorithms, methods and techniques for multiple-criteria decision analysis.

Project description

Scikit-Criteria

image

Multiple-criteria decision analysis

QuatroPe Gihub Actions CI Documentation Status PyPI PyPI - Downloads Conda Forge Conda License Python 3.8+

Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.

Help & discussion mailing list

Our Google Groups mailing list is here.

You can contact me at: jbcabral@unc.edu.ar (if you have a support question, try the mailing list first)

Code Repository & Issues

https://github.com/quatrope/scikit-criteria

License

Scikit-Criteria is under The 3-Clause BSD License

This license allows unlimited redistribution for any purpose as long as its copyright notices and the license's disclaimers of warranty are maintained.

Citation

If you are using Scikit-Criteria in your research, please cite:

If you use scikit-criteria in a scientific publication, we would appreciate citations to the following paper:

Cabral, Juan B., Nadia Ayelen Luczywo, and José Luis Zanazzi 2016 Scikit-Criteria: Colección de Métodos de Análisis Multi-Criterio Integrado Al Stack Científico de Python. In XLV Jornadas Argentinas de Informática E Investigación Operativa (45JAIIO)-XIV Simposio Argentino de Investigación Operativa (SIO) (Buenos Aires, 2016) Pp. 59-66. http://45jaiio.sadio.org.ar/sites/default/files/Sio-23.pdf.

Bibtex entry:

   @inproceedings{scikit-criteria,
        author={
            Juan B Cabral and Nadia Ayelen Luczywo and Jos\'{e} Luis Zanazzi},
        title={
            Scikit-Criteria: Colecci\'{o}n de m\'{e}todos de an\'{a}lisis
            multi-criterio integrado al stack cient\'{i}fico de {P}ython},
        booktitle = {
            XLV Jornadas Argentinas de Inform{\'a}tica
            e Investigaci{\'o}n Operativa (45JAIIO)-
            XIV Simposio Argentino de Investigaci\'{o}n Operativa (SIO)
            (Buenos Aires, 2016)},
        year={2016},
        pages = {59--66},
        url={http://45jaiio.sadio.org.ar/sites/default/files/Sio-23.pdf}
    }

Full Publication: http://sedici.unlp.edu.ar/handle/10915/58577

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

scikit-criteria-0.8.6.tar.gz (74.4 kB view details)

Uploaded Source

Built Distribution

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

scikit_criteria-0.8.6-py3-none-any.whl (96.9 kB view details)

Uploaded Python 3

File details

Details for the file scikit-criteria-0.8.6.tar.gz.

File metadata

  • Download URL: scikit-criteria-0.8.6.tar.gz
  • Upload date:
  • Size: 74.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for scikit-criteria-0.8.6.tar.gz
Algorithm Hash digest
SHA256 d3cda3103ba8030409de8804ddcfceba596faf4897cc4798766d6d171e0437d9
MD5 7e6a068bfaa308f5c3df67c086a5a1e2
BLAKE2b-256 2ea717f0da12dcc00ce9f7dc49020a59272c6b5cb5de43e0c94734ba7df0b282

See more details on using hashes here.

File details

Details for the file scikit_criteria-0.8.6-py3-none-any.whl.

File metadata

File hashes

Hashes for scikit_criteria-0.8.6-py3-none-any.whl
Algorithm Hash digest
SHA256 9c5b71b5a0529940a24aa55720998e04a19d23a98383c0820e5b3a4827b9417d
MD5 9e2e8ba2dfe6951bbcf48b74ee503d62
BLAKE2b-256 ab3ab2965ad5bd0accf4757ede876f8097e080af31fdc0d2885e3a17fd296248

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