Skip to main content

On Finitely Valued Fuzzy Description Logics: The Łukasiewicz Case

  • Conference paper
Advances in Computational Intelligence (IPMU 2012)

Abstract

Following the guidelines proposed by Hájek in [1], some proposals of research on Fuzzy Description Logics (FDLs) were given in [2]. One of them consists in the definition and development of a family of description languages, each one having as underlying fuzzy logic the expansion with an involutive negation and truth constants of the logic defined by a divisible finite t-norm. A general framework for finitely valued FDLs was presented in [3]. In the present paper we study the family of languages \(\mathcal{ALC}_{\textbf{\L}_n^c}\) based on the finitely valued Łukasiewicz logics with truth constants. In addition, we provide an interpretation of these FDLs into fuzzy multi-modal systems. We also deal with the corresponding reasoning tasks and their relationships, and we report some results on decidability and computational complexity.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hájek, P.: Making fuzzy description logic more general. Fuzzy Sets and Systems 154(1), 1–15 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  2. García-Cerdaña, À., Armengol, E., Esteva, F.: Fuzzy Description Logics and t-norm based fuzzy logics. International Journal of Approximate Reasoning 51(6), 632–655 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Cerami, M., García-Cerdaña, À., Esteva, F.: From classical description logic to n-graded fuzzy description logic. In: Proceedings of the FUZZ-IEEE 2010. WCCI 2010 IEEE World Congress on Computational Intelligence, pp. 1506–1513 (2010)

    Google Scholar 

  4. Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, New York (2003)

    MATH  Google Scholar 

  5. Yen, J.: Generalizing Term Subsumption Languages to Fuzzy Logic. In: Proc. of the 12th IJCAI, Sidney, Australia, pp. 472–477 (1991)

    Google Scholar 

  6. Tresp, C.B., Molitor, R.: A Description Logic for Vague Knowledge. Technical Report RWTH-LTCS Report 98-01. Aachen University of Technology (1998)

    Google Scholar 

  7. Straccia, U.: Reasoning within Fuzzy Description Logics. Journal of Artificial Intelligence Research 14, 137–166 (2001)

    MathSciNet  MATH  Google Scholar 

  8. Cintula, P., Hájek, P., Noguera, C. (eds.): Handbook of Mathematical Fuzzy Logic. Studies in Logic, vol. 1,2. College Publications, London (2011)

    Google Scholar 

  9. Hájek, P.: Metamathematics of Fuzzy Logic. Trends in Logic. Studia Logica Library, vol. 4. Kluwer Academic Publishers, Dordrecht (1998)

    Book  MATH  Google Scholar 

  10. Bobillo, F., Straccia, U.: Reasoning with the Finitely Many-valued Łukasiewicz Fuzzy Description Logic SROIQ. Information Sciences 181, 758–778 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. Borgwardt, S., Peñaloza, R.: Description logics over lattices with multi-valued ontologies. In: Proceedings of the Twenty-Second International Conference on Artificial Intelligence, pp. 768–773 (2011)

    Google Scholar 

  12. Cignoli, R., D’Ottaviano, I., Mundici, D.: Algebraic Foundations of Many-Valued Reasoning. Trends in Logic—Studia Logica Library, vol. 7. Kluwer Academic Publishers, Dordrecht (2000)

    MATH  Google Scholar 

  13. Tuziak, R.: An Axiomatization of the Finite-Valued Łukasiewicz Calculus. Studia Logica 47(1), 49–55 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  14. Bou, F., Esteva, F., Godo, L., Rodríguez, R.: On the Minimum Many-Valued Modal Logic over a Finite Residuated Lattice. Journal of Logic and Computation 21(5), 739–790 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  15. Straccia, U., Bobillo, F.: Mixed Integer Programming, General Concept Inclusions and Fuzzy Description Logics. Mathware and Soft Computing 14(3), 247–259 (2007)

    MathSciNet  MATH  Google Scholar 

  16. Baader, F., Horrocks, I., Sattler, U.: Description logics. In: van Harmelin, F., Lifshitz, V., Porter, B. (eds.) Handbook of Knowledge Representation, pp. 135–179. Elsevier (2008)

    Google Scholar 

  17. Bou, F., Cerami, M., Esteva, F.: Finite-valued Łukasiewicz Modal Logic is PSPACE-complete. In: Proceedings of the IJCAI 2011, pp. 774–779 (2011)

    Google Scholar 

  18. Bobillo, F., Straccia, U.: Finite fuzzy description logics: A crisp representation for finite fuzzy \(\mathcal{ALCH}\). In: Bobillo, F., et al. (eds.) Proceedings of the 6th ISWC Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010). CEUR Workshop Proceedings, vol. 654, pp. 61–72 (November 2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cerami, M., Esteva, F., García-Cerdaña, À. (2012). On Finitely Valued Fuzzy Description Logics: The Łukasiewicz Case. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31715-6_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31714-9

  • Online ISBN: 978-3-642-31715-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics