Formal Concept Analysis and Structures Underlying Quantum Logics

Authors

Ondrej Kridlo

Published

1 January 2018

Publication details

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, {IPMU} 2018, C{'{a}}diz, Spain, June 11-15, 2018, Proceedings, Part {I} , Communications in Computer and Information Science vol. 853, pages 574–584.

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Abstract

Citation

Please, cite this work as:

[KO18] O. Kridlo and M. Ojeda-Aciego. “Formal Concept Analysis and Structures Underlying Quantum Logics”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part I. Ed. by J. Medina, M. Ojeda-Aciego, J. L. V. Galdeano, D. A. Pelta, I. P. Cabrera, B. Bouchon-Meunier and R. R. Yager. Vol. 853. Communications in Computer and Information Science. Springer, 2018, pp. 574-584. DOI: 10.1007/978-3-319-91473-2_49. URL: https://doi.org/10.1007/978-3-319-91473-2_49.

BibTeX

@InProceedings{Kridlo2018,
     author = {Ondrej Kridlo and Manuel Ojeda-Aciego},
     booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, {IPMU} 2018, C{'{a}}diz, Spain, June 11-15, 2018, Proceedings, Part {I}},
     title = {Formal Concept Analysis and Structures Underlying Quantum Logics},
     year = {2018},
     editor = {Jes{’u}s Medina and Manuel Ojeda-Aciego and Jos{’e} Luis Verdegay Galdeano and David A. Pelta and Inma P. Cabrera and Bernadette Bouchon-Meunier and Ronald R. Yager},
     pages = {574–584},
     publisher = {Springer},
     series = {Communications in Computer and Information Science},
     volume = {853},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/ipmu/KridloO18.bib},
     doi = {10.1007/978-3-319-91473-2_49},
     timestamp = {Thu, 07 Jan 2021 08:57:40 +0100},
     url = {https://doi.org/10.1007/978-3-319-91473-2_49},
}

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Citations
CrossRef - Citation Indexes: 2
Scopus - Citation Indexes: 5

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Mendeley - Readers: 6

Cites

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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. “A Relational Extension of Galois Connections”. In: Formal Concept Analysis. Springer International Publishing, 2019, p. 290–303. ISBN: 9783030214623. DOI: 10.1007/978-3-030-21462-3_19. URL: http://dx.doi.org/10.1007/978-3-030-21462-3_19.

[2] I. P. Cabrera, P. Cordero, E. Muñoz-Velasco, et al. “Relational Connections Between Preordered Sets”. In: Applied Physics, System Science and Computers III. Springer International Publishing, 2019, p. 163–169. ISBN: 9783030215071. DOI: 10.1007/978-3-030-21507-1_24. URL: http://dx.doi.org/10.1007/978-3-030-21507-1_24.

[3] I. P. Cabrera, P. Cordero, E. Muñoz-Velasco, et al. “Towards fuzzy relational Galois connections between fuzzy T-digraphs”. In: Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). eusflat-19. Atlantis Press, 2019. DOI: 10.2991/eusflat-19.2019.112. URL: http://dx.doi.org/10.2991/eusflat-19.2019.112.

[4] I. P. Cabrera, P. Cordero, E. Muñoz-Velasco, et al. “Relational Galois connections between transitive digraphs: Characterization and construction”. In: Information Sciences 519 (May. 2020), p. 439–450. ISSN: 0020-0255. DOI: 10.1016/j.ins.2020.01.034. URL: http://dx.doi.org/10.1016/j.ins.2020.01.034.

[5] O. Krídlo and M. Ojeda-Aciego. “Relating Hilbert-Chu Correspondences and Big Toy Models for Quantum Mechanics”. In: Computational Intelligence and Mathematics for Tackling Complex Problems. Springer International Publishing, May. 2019, p. 75–80. ISBN: 9783030160241. DOI: 10.1007/978-3-030-16024-1_10. URL: http://dx.doi.org/10.1007/978-3-030-16024-1_10.

[6] P. K. Singh. “Crisply Generated Complex Fuzzy Concepts Analysis Using Shannon Entropy”. In: Neural Processing Letters 54.6 (May. 2022), p. 5643–5667. ISSN: 1573-773X. DOI: 10.1007/s11063-022-10878-7. URL: http://dx.doi.org/10.1007/s11063-022-10878-7.