Skip to main content

Multi-adjoint Concept Lattices, Preferences and Bousi Prolog

  • Conference paper
  • First Online:
Rough Sets (IJCRS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9920))

Included in the following conference series:

Abstract

The use of preferences is usual in the natural language and it must be taken into account in the diverse theoretical frameworks focused on the knowledge management in databases. This paper exploits the possibility of considering preferences in a (discrete) fuzzy concept lattice framework.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Antoni, L., Krajci, S., Kridlo, O., Macek, B., Pisková, L.: On heterogeneous formal contexts. Fuzzy Sets Syst. 234, 22–33 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  2. Bělohlávek, R., Funiokova, T., Vychodil, V.: Galois connections with hedges. In: Proceedings of IFSA World Congress, vol. II, pp. 1250–1255. Springer (2005)

    Google Scholar 

  3. Burusco, A., Fuentes-González, R.: Construction of the \({L}\)-fuzzy concept lattice. Fuzzy Sets Syst. 97(1), 109–114 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  4. Chen, J., Li, J., Lin, Y., Lin, G., Ma, Z.: Relations of reduction between covering generalized rough sets and concept lattices. Inf. Sci. 304, 16–27 (2015)

    Article  MathSciNet  Google Scholar 

  5. Cornejo, M.E., Medina, J., Ramírez-Poussa, E.: A comparative study of adjoint triples. Fuzzy Sets Syst. 211, 1–14 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  6. Cornejo, M.E., Medina, J., Ramírez-Poussa, E.: Multi-adjoint algebras versus non-commutative residuated structures. Int. J. Approximate Reasoning 66, 119–138 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  7. Medina, J.: Relating attribute reduction in formal, object-oriented and property-oriented concept lattices. Comput. Math. Appl. 64(6), 1992–2002 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  8. Medina, J., Ojeda-Aciego, M.: Multi-adjoint t-concept lattices. Inf. Sci. 180(5), 712–725 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. Medina, J., Ojeda-Aciego, M.: On multi-adjoint concept lattices based on heterogeneous conjunctors. Fuzzy Sets Syst. 208, 95–110 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  10. Medina, J., Ojeda-Aciego, M., Ruiz-Calviño, J.: Formal concept analysis via multi-adjoint concept lattices. Fuzzy Sets Syst. 160(2), 130–144 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  11. Medina, J., Ojeda-Aciego, M., Valverde, A., Vojtáš, P.: Towards biresiduated multi-adjoint logic programming. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, J.-L. (eds.) CAEPIA/TTIA -2003. LNCS (LNAI), vol. 3040, pp. 608–617. Springer, Heidelberg (2004). doi:10.1007/978-3-540-25945-9_60

    Chapter  Google Scholar 

  12. Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63(2), 81–87 (1956)

    Article  Google Scholar 

  13. Romero, F.P., Julián-Iranzo, P., Soto, A., Ferreira-Satler, M., Gallardo-Casero, J.: Classifying unlabeled short texts using a fuzzy declarative approach. Lang. Resour. Eval. 47(1), 151–178 (2013)

    Article  Google Scholar 

  14. Rubio-Manzano, C., Julián-Iranzo, P.: A fuzzy linguistic prolog and its applications. J. Intell. Fuzzy Syst. 26(3), 1503–1516 (2014)

    Google Scholar 

  15. Rubio-Manzano, C., Julián-Iranzo, P.: Incorporation of abstraction capability in a logic-based framework by using proximity relations. J. Intell. Fuzzy Syst. 29(4), 1671–1683 (2015)

    Article  MathSciNet  Google Scholar 

  16. Yao, Y.: Rough-set concept analysis: Interpreting RS-definable concepts based on ideas from formal concept analysis. Inf. Sci. 346–347, 442–462 (2016)

    Article  MathSciNet  Google Scholar 

  17. Zhang, R., Xiong, S., Chen, Z.: Construction method of concept lattice based on improved variable precision rough set. Neurocomputing 188, 326–338 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Eugenia Cornejo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Cornejo, M.E., Medina, J., Ramírez-Poussa, E., Rubio-Manzano, C. (2016). Multi-adjoint Concept Lattices, Preferences and Bousi Prolog. In: Flores, V., et al. Rough Sets. IJCRS 2016. Lecture Notes in Computer Science(), vol 9920. Springer, Cham. https://doi.org/10.1007/978-3-319-47160-0_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47160-0_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47159-4

  • Online ISBN: 978-3-319-47160-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics