Galois connections in computational intelligence: {A} short survey
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.
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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.
