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 Conda Forge License Python 3.7+

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.dev0.tar.gz (65.5 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.dev0-py3-none-any.whl (87.1 kB view details)

Uploaded Python 3

File details

Details for the file scikit-criteria-0.8.dev0.tar.gz.

File metadata

  • Download URL: scikit-criteria-0.8.dev0.tar.gz
  • Upload date:
  • Size: 65.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for scikit-criteria-0.8.dev0.tar.gz
Algorithm Hash digest
SHA256 7c24917b9293ce9c6203e7ef06c91370d9f7bd77039bd82f989e9390fda1d740
MD5 d58b4bf9938838c5065d66d78f043f14
BLAKE2b-256 d5d7cbde413a59d955593c928ef94fb5bcabe7fe0ccebf366f1c29b66c095dce

See more details on using hashes here.

File details

Details for the file scikit_criteria-0.8.dev0-py3-none-any.whl.

File metadata

File hashes

Hashes for scikit_criteria-0.8.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 03a3ebd0426834f9eb38bcc3fca321aa2d52191e8fe9ea7e0c6b8f0cdee90d35
MD5 c04bd43e46ee8c81f54c9f2837906ffd
BLAKE2b-256 13408ba80b05d5e9ad54f1f15d41add28928dab2a34835aab2dc3715e58cea67

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