Canonical dichotomous direct bases

 

Abstract

Citation

Please, cite this work as:

[Rod+17] E. Rodr', P. Cordero, M. Enciso, et al. “Canonical dichotomous direct bases”. In: Inf. Sci. 376 (2017), pp. 39-53. DOI: 10.1016/J.INS.2016.10.004. URL: https://doi.org/10.1016/j.ins.2016.10.004.

NoteBibTeX

@Article{Lorenzo2017b,
     author = {Estrella Rodr'Lorenzo and Pablo Cordero and Manuel Enciso and {’A}ngel Mora},
     journal = {Inf. Sci.},
     title = {Canonical dichotomous direct bases},
     year = {2017},
     pages = {39–53},
     volume = {376},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/isci/LorenzoCEB17.bib},
     doi = {10.1016/J.INS.2016.10.004},
     timestamp = {Wed, 28 Sep 2022 01:00:00 +0200},
     url = {https://doi.org/10.1016/j.ins.2016.10.004},
}

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Canonical dichotomous direct bases

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Papers citing this work

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

[1] F. Benito-Picazo, P. Cordero, M. Enciso, et al. “Minimal generators, an affordable approach by means of massive computation”. In: The Journal of Supercomputing 75.3 (Jun. 2018), p. 1350–1367. ISSN: 1573-0484. DOI: 10.1007/s11227-018-2453-z. URL: http://dx.doi.org/10.1007/s11227-018-2453-z.

[2] P. Cordero, M. Enciso, Á. Mora, et al. “A Formal Concept Analysis Approach to Cooperative Conversational Recommendation”. In: International Journal of Computational Intelligence Systems 13.1 (2020), p. 1243. ISSN: 1875-6883. DOI: 10.2991/ijcis.d.200806.001. URL: http://dx.doi.org/10.2991/ijcis.d.200806.001.

[3] D. Dubois, J. Medina, and H. Prade. “Extracting attribute implications from a formal context: Unifying the basic approaches”. In: Information Sciences 689 (Jan. 2025), p. 121419. ISSN: 0020-0255. DOI: 10.1016/j.ins.2024.121419. URL: http://dx.doi.org/10.1016/j.ins.2024.121419.

[4] D. López-Rodríguez, E. Muñoz-Velasco, and M. Ojeda-Aciego. “Formal Methods in FCA and Big Data”. In: Complex Data Analytics with Formal Concept Analysis. Springer International Publishing, Dec. 2021, p. 201–224. ISBN: 9783030932787. DOI: 10.1007/978-3-030-93278-7_9. URL: http://dx.doi.org/10.1007/978-3-030-93278-7_9.

[5] J. Medina, P. Navareño, and E. Ramírez-Poussa. “Knowledge Implications in Multi-adjoint Concept Lattices”. In: Computational Intelligence and Mathematics for Tackling Complex Problems 2. Springer International Publishing, 2022, p. 155–161. ISBN: 9783030888176. DOI: 10.1007/978-3-030-88817-6_18. URL: http://dx.doi.org/10.1007/978-3-030-88817-6_18.

[6] M. Ojeda-Hernández, I. P. Cabrera, and P. Cordero. “Quasi-closed elements in fuzzy posets”. In: Journal of Computational and Applied Mathematics 404 (Apr. 2022), p. 113390. ISSN: 0377-0427. DOI: 10.1016/j.cam.2021.113390. URL: http://dx.doi.org/10.1016/j.cam.2021.113390.