Galois connections in computational intelligence: {A} short survey

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Published

1 January 2017

Publication details

2017 {IEEE} Symposium Series on Computational Intelligence, {SSCI} 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017 , pages 1–7.

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Abstract

The construction of Galois connections between different structures provides a number of advantages, both from the theoretical and the applied standpoints. In this paper, we survey some works on Galois connections focused essentially on certain aspects of Computational Intelligence.

Citation

Please, cite this work as:

[CCO17] I. P. Cabrera, P. Cordero, and M. Ojeda-Aciego. “Galois connections in computational intelligence: A short survey”. In: 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017. IEEE, 2017, pp. 1-7. DOI: 10.1109/SSCI.2017.8285310. URL: https://doi.org/10.1109/SSCI.2017.8285310.

@InProceedings{Cabrera2017c,
     author = {Inma P. Cabrera and Pablo Cordero and Manuel Ojeda-Aciego},
     booktitle = {2017 {IEEE} Symposium Series on Computational Intelligence, {SSCI} 2017, Honolulu, HI, USA, November 27 - Dec. 1, 2017},
     title = {Galois connections in computational intelligence: {A} short survey},
     year = {2017},
     pages = {1–7},
     publisher = {{IEEE}},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/ssci/CabreraCO17.bib},
     doi = {10.1109/SSCI.2017.8285310},
     timestamp = {Fri, 27 Dec 2019 00:00:00 +0100},
     url = {https://doi.org/10.1109/SSCI.2017.8285310},
}

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  • Citations
  • CrossRef - Citation Indexes: 2
  • Scopus - Citation Indexes: 2
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  • Mendeley - Readers: 6

Cites

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20200.00.51.01.52.0
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Papers citing this work

The following is a non-exhaustive list of papers that cite this work:

[1] I. P. Cabrera, P. Cordero, E. Muñoz-Velasco, et al. “Galois Connections Between Unbalanced Structures in a Fuzzy Framework”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2020, p. 736–747. ISBN: 9783030501532. DOI: 10.1007/978-3-030-50153-2_54. URL: http://dx.doi.org/10.1007/978-3-030-50153-2_54.

[2] S. Ferré, M. Huchard, M. Kaytoue, et al. “Formal Concept Analysis: From Knowledge Discovery to Knowledge Processing”. In: A Guided Tour of Artificial Intelligence Research. Springer International Publishing, 2020, p. 411–445. ISBN: 9783030061678. DOI: 10.1007/978-3-030-06167-8_13. URL: http://dx.doi.org/10.1007/978-3-030-06167-8_13.