Skip to main content

Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics

  • Conference paper
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3641))

Abstract

As an extension of the traditional modal logic, the fuzzy first-order modal logic is discussed in this paper. A description of fuzzy first-order modal logic based on constant domain semantics is given, and a formal system of fuzzy reasoning based on the semantic information of models of first-order modal logic is established. It is also introduced in this paper the notion of the satisfiability of the reasoning system and some properties associated with the satisfiability are proved.

The work is supported by the National NSF of China (60373042, 60273019 and 60073017), the National 973 Project of China (G1999032701), Ministry of Science and Technology (2001CCA03000).

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Melvin, F., Richard, L.M.: First-Order Modal Logic. Kluwer Academic Publishers, Dordrecht (1998)

    MATH  Google Scholar 

  2. Gabbay, D.M., Hogger, C.J., Robinson, J.A. (eds.): Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 1-4. Clarendon Press, Oxford (1994)

    Google Scholar 

  3. Abramsky, S., Gabbay, D.M., Maibaum, T.S.E. (eds.): Handbook of Logic in Computer Science, vol. 1-3. Clarendon Press, Oxford (1992)

    Google Scholar 

  4. Orłowska, E.: Kripke semantics for knowledge representation logics. Studia Logica XLIX(1990), 255–272

    Google Scholar 

  5. Fagin, R.F., Halpern, J.Y., Moses, Y., Vardi, M.Y.: Reasoning about Knowledge. MIT press, Cambridge (1996)

    Google Scholar 

  6. Alefeld, G., Herzberger, J.: Introduction to Interval Computations. Academic Press, New York (1983)

    MATH  Google Scholar 

  7. Dubois, D., Prade, H.: Possibility Theory: An Approach to Computerized Processing of Uncertainty. Plenum Press, New York (1988)

    MATH  Google Scholar 

  8. Hájek, P., Harmancová, D.: A many-valued modal logics. In: Proceedings of IPMU 1996, pp. 1021–1024 (1996)

    Google Scholar 

  9. Rodríguez, R., Garcia, P., Godo, L.: Using fuzzy similarity relations to revise and update a knowledge base. Mathware and Soft Computing 3, 357–370 (1996)

    MATH  MathSciNet  Google Scholar 

  10. Godo, L., Rodríguez, R.: Graded similarity based semantics for nonmonotonic inference. Annals of Mathematics and Artificial Intelligence 34, 89–105 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  11. Zhang, Z.Y., Sui, Y.F., Cao, C.G.: Fuzzy reasoning based on propositional modal logic. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 109–115. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  12. Zhang, Z.Y., Sui, Y.F., Cao, C.G.: Formal reasoning system based on fuzzy propositional modal logic. To appear in Journal of Software (2005)

    Google Scholar 

  13. Yao, Y.Y.: A comparative study of fuzzy sets and rough sets. Information Science 109, 227–242 (1998)

    Article  MATH  Google Scholar 

  14. Pawlak, Z.: Rough sets. International Journal of Computer and Information Science 11, 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  15. Pawlak, Z.: Rough Sets – Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, Z., Sui, Y., Cao, C. (2005). Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548669_66

Download citation

  • DOI: https://doi.org/10.1007/11548669_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28653-0

  • Online ISBN: 978-3-540-31825-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics