Dual multi-adjoint concept lattices

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Authors

Jesús Medina

Manuel Ojeda-Aciego

Published

1 January 2013

Publication details

Inf. Sci. vol. 225 , pages 47–54.

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Abstract

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Please, cite this work as:

[MO13] J. Medina and M. Ojeda-Aciego. “Dual multi-adjoint concept lattices”. In: Inf. Sci. 225 (2013), pp. 47-54. DOI: 10.1016/J.INS.2012.10.030. URL: https://doi.org/10.1016/j.ins.2012.10.030.

@Article{Medina2013,
     author = {Jes{’u}s Medina and Manuel Ojeda-Aciego},
     journal = {Inf. Sci.},
     title = {Dual multi-adjoint concept lattices},
     year = {2013},
     pages = {47–54},
     volume = {225},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/isci/MedinaO13.bib},
     doi = {10.1016/J.INS.2012.10.030},
     timestamp = {Thu, 07 Jan 2021 00:00:00 +0100},
     url = {https://doi.org/10.1016/j.ins.2012.10.030},
}

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Dual multi-adjoint concept lattices

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Papers citing this work

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[1] C. Alcalde and A. Burusco. “Multivalued contexts associated with criteria”. In: International Journal of General Systems 47.2 (Dec. 2017), p. 118–136. ISSN: 1563-5104. DOI: 10.1080/03081079.2017.1410147. URL: http://dx.doi.org/10.1080/03081079.2017.1410147.

[2] C. Alcalde and A. Burusco. “Reduction of the size ofL-fuzzy contexts. A tool for differential diagnoses of diseases”. In: International Journal of General Systems 48.7 (May. 2019), p. 692–712. ISSN: 1563-5104. DOI: 10.1080/03081079.2019.1620740. URL: http://dx.doi.org/10.1080/03081079.2019.1620740.

[3] C. Alcalde and A. Burusco. “Study of the Relevance of Objects and Attributes of L-fuzzy Contexts Using Overlap Indexes”. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. Springer International Publishing, 2018, p. 537–548. ISBN: 9783319914732. DOI: 10.1007/978-3-319-91473-2_46. URL: http://dx.doi.org/10.1007/978-3-319-91473-2_46.

[4] C. Alcalde and A. Burusco. “WOWA operators in fuzzy context sequences”. In: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. ifsa-eusflat-15. Atlantis Press, 2015. DOI: 10.2991/ifsa-eusflat-15.2015.52. URL: http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.52.

[5] C. Alcalde, A. Burusco, H. Bustince, et al. “Linking Mathematical Morphology andL-Fuzzy Concepts”. In: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25.Suppl. 1 (Dec. 2017), p. 73–98. ISSN: 1793-6411. DOI: 10.1142/s0218488517400049. URL: http://dx.doi.org/10.1142/s0218488517400049.

[6] C. Alcalde, A. Burusco, H. Bustince, et al. “Evolution in time of L-fuzzy context sequences”. In: Information Sciences 326 (Jan. 2016), p. 202–214. ISSN: 0020-0255. DOI: 10.1016/j.ins.2015.07.050. URL: http://dx.doi.org/10.1016/j.ins.2015.07.050.

[7] C. Alcalde, A. Burusco, and R. Fuentes-González. “The use of two relations in L-fuzzy contexts”. In: Information Sciences 301 (Apr. 2015), p. 1–12. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.12.057. URL: http://dx.doi.org/10.1016/j.ins.2014.12.057.

[8] L. Antoni, S. Krajči, and O. Krídlo. “Constraint heterogeneous concept lattices and concept lattices with heterogeneous hedges”. In: Fuzzy Sets and Systems 303 (Nov. 2016), p. 21–37. ISSN: 0165-0114. DOI: 10.1016/j.fss.2015.12.007. URL: http://dx.doi.org/10.1016/j.fss.2015.12.007.

[9] L. Antoni, S. Krajči, and O. Krídlo. “On stability of fuzzy formal concepts over randomized one-sided formal context”. In: Fuzzy Sets and Systems 333 (Feb. 2018), p. 36–53. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.04.006. URL: http://dx.doi.org/10.1016/j.fss.2017.04.006.

[10] L. Antoni, S. Krajči, and O. Krídlo. “Randomized Fuzzy Formal Contexts and Relevance of One-Sided Concepts”. In: Formal Concept Analysis. Springer International Publishing, 2015, p. 183–199. ISBN: 9783319195452. DOI: 10.1007/978-3-319-19545-2_12. URL: http://dx.doi.org/10.1007/978-3-319-19545-2_12.

[11] L. Antoni, S. Krajči, and O. Krídlo. “Representation of fuzzy subsets by Galois connections”. In: Fuzzy Sets and Systems 326 (Nov. 2017), p. 52–68. ISSN: 0165-0114. DOI: 10.1016/j.fss.2017.05.020. URL: http://dx.doi.org/10.1016/j.fss.2017.05.020.

[12] J. Chen, J. Li, Y. Lin, et al. “Relations of reduction between covering generalized rough sets and concept lattices”. In: Information Sciences 304 (May. 2015), p. 16–27. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.11.053. URL: http://dx.doi.org/10.1016/j.ins.2014.11.053.

[13] F. Gong, M. Shao, and G. Qiu. “Concept granular computing systems and their approximation operators”. In: International Journal of Machine Learning and Cybernetics 8.2 (Nov. 2015), p. 627–640. ISSN: 1868-808X. DOI: 10.1007/s13042-015-0457-z. URL: http://dx.doi.org/10.1007/s13042-015-0457-z.

[14] R. Halaš, R. Mesiar, and J. Pócs. “Description of sup- and inf-preserving aggregation functions via families of clusters in data tables”. In: Information Sciences 400–401 (Aug. 2017), p. 173–183. ISSN: 0020-0255. DOI: 10.1016/j.ins.2017.02.060. URL: http://dx.doi.org/10.1016/j.ins.2017.02.060.

[15] J. Konecny, J. Medina, and M. Ojeda-Aciego. “Multi-adjoint concept lattices with heterogeneous conjunctors and hedges”. In: Annals of Mathematics and Artificial Intelligence 72.1–2 (Mar. 2014), p. 73–89. ISSN: 1573-7470. DOI: 10.1007/s10472-014-9405-y. URL: http://dx.doi.org/10.1007/s10472-014-9405-y.

[16] J. Konecny and M. Ojeda-Aciego. “On homogeneousL-bonds and heterogeneousL-bonds”. In: International Journal of General Systems 45.2 (Oct. 2015), p. 160–186. ISSN: 1563-5104. DOI: 10.1080/03081079.2015.1072926. URL: http://dx.doi.org/10.1080/03081079.2015.1072926.

[17] O. Krídlo, S. Krajči, and L. Antoni. “Formal concept analysis of higher order”. In: International Journal of General Systems 45.2 (Jan. 2016), p. 116–134. ISSN: 1563-5104. DOI: 10.1080/03081079.2015.1072924. URL: http://dx.doi.org/10.1080/03081079.2015.1072924.

[18] O. Kridlo and M. Ojeda-Aciego. “Extending formal concept analysis using intuitionistic l-fuzzy sets”. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Jul. 2017, p. 1–6. DOI: 10.1109/fuzz-ieee.2017.8015570. URL: http://dx.doi.org/10.1109/fuzz-ieee.2017.8015570.

[19] J. Li, C. Huang, W. Xu, et al. “Cognitive concept learning via granular computing for big data”. In: 2015 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, Jul. 2015, p. 289–294. DOI: 10.1109/icmlc.2015.7340937. URL: http://dx.doi.org/10.1109/icmlc.2015.7340937.

[20] J. Li, C. Mei, W. Xu, et al. “Concept learning via granular computing: A cognitive viewpoint”. In: Information Sciences 298 (Mar. 2015), p. 447–467. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.12.010. URL: http://dx.doi.org/10.1016/j.ins.2014.12.010.

[21] K. Li, M. Shao, and W. Wu. “A data reduction method in formal fuzzy contexts”. In: International Journal of Machine Learning and Cybernetics 8.4 (Jan. 2016), p. 1145–1155. ISSN: 1868-808X. DOI: 10.1007/s13042-015-0485-8. URL: http://dx.doi.org/10.1007/s13042-015-0485-8.

[22] L. Urbanova and V. Vychodil. “Derivation digraphs for dependencies in ordinal and similarity-based data”. In: Information Sciences 268 (Jun. 2014), p. 381–396. ISSN: 0020-0255. DOI: 10.1016/j.ins.2013.12.046. URL: http://dx.doi.org/10.1016/j.ins.2013.12.046.

[23] V. Vychodil. “Computing sets of graded attribute implications with witnessed non-redundancy”. In: Information Sciences 351 (Jul. 2016), p. 90–100. ISSN: 0020-0255. DOI: 10.1016/j.ins.2016.03.004. URL: http://dx.doi.org/10.1016/j.ins.2016.03.004.

[24] V. Vychodil. “Parameterizing the Semantics of Fuzzy Attribute Implications by Systems of Isotone Galois Connections”. In: IEEE Transactions on Fuzzy Systems 24.3 (Jun. 2016), p. 645–660. ISSN: 1941-0034. DOI: 10.1109/tfuzz.2015.2470530. URL: http://dx.doi.org/10.1109/tfuzz.2015.2470530.

[25] F. Wang, J. Li, and C. Yu. “Optimal scale selection approach for classification based on generalized multi-scale formal context”. In: Applied Soft Computing 152 (Feb. 2024), p. 111277. ISSN: 1568-4946. DOI: 10.1016/j.asoc.2024.111277. URL: http://dx.doi.org/10.1016/j.asoc.2024.111277.