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Intelligent Systems'2014 pp 353–364Cite as

Combining Uncertainty and Vagueness in Time Intervals

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

Database systems contain data representing properties of real-life objects or concepts. Many of these data represent time indications and such time indications are often subject to imperfections. Although several existing proposals deal with the modeling of uncertainty or vagueness in time indications in database systems, only a few of them summarily examine the interpretation and semantics of such imperfections. The work presented in this paper starts at a more thorough examination of the semantics and modeling of uncertainty or vagueness in time intervals in database systems and presents methods to model combinations of uncertainty and vagueness in time intervals in database systems, based on examinations of their requisite interpretations.

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References

  1. Billiet, C., Pons Frias, J.E., Pons, O., De Tré, G.: Bipolarity in the Querying of Temporal Databases. In: Atanassov, K.T., Homenda, W., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrozny, S. (eds.) New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics volume II: applications, New trends edn., pp. 21–37. SRI PAS/IBS PAN (2013)

    Google Scholar 

  2. Billiet, C., Pons Frias, J.E., Pons Capote, O., De Tré, G.: A Comparison of Approaches to Model Uncertainty in Time Intervals. In: Pasi, G., Montero, J., Ciucci, D. (eds.) Advances in Intelligent Systems Research, pp. 626–633. Atlantis Press, Milano (2013)

    Google Scholar 

  3. Jensen, C.S., et al.: The consensus glossary of temporal database concepts - february 1998 version. In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, pp. 367–405. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  4. Bronselaer, A., Pons, J.E., De Tré, G., Pons, O.: Possibilistic evaluation of sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21(3), 325–346 (2013)

    Article  MathSciNet  Google Scholar 

  5. Chountas, P., Petrounias, I.: Modelling and Representation of Uncertain Temporal Information. Requirements Engineering 5(3), 144–156 (2000)

    Article  MATH  Google Scholar 

  6. De Tré, G., Zadrozny, S., Bronselaer, A.J.: Handling Bipolarity in Elementary Queries to Possibilistic Databases. IEEE Transactions on Fuzzy Systems 18(3), 599–612 (2010)

    Article  Google Scholar 

  7. Dubois, D., Hadjali, A., Prade, H.: A Possibility Theory-Based Approach to the Handling of Uncertain Relations between Temporal Points. International Journal of Intelligent Systems 22(2), 157–179 (2007)

    Article  MATH  Google Scholar 

  8. Dubois, D., Prade, H.: Processing Fuzzy Temporal Knowledge. IEEE Transactions on Systems, Man and Cybernetics 19(4), 729–744 (1989)

    Article  MathSciNet  Google Scholar 

  9. Dubois, D., Prade, H.: The Three Semantics of Fuzzy Sets. Fuzzy Sets and Systems 90(2), 141–150 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  10. Dyreson, C.E., et al.: A Consensus Glossary of Temporal Database Concepts. SIGMOD Record 23(1), 52–64 (1994)

    Article  Google Scholar 

  11. Dyreson, C.E., Snodgrass, R.T.: Supporting Valid-Time Indeterminacy. ACM Transactions on Database Systems 23(1), 1–57 (1998)

    Article  Google Scholar 

  12. Garrido, C., Marín, N., Pons, O.: Fuzzy Intervals To Represent Fuzzy Valid Time in a Temporal Relational Database. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17(Suppl.1), 173–192 (2009)

    Article  MATH  Google Scholar 

  13. Kacprzyk, J., Zadrozny, S.: Computing with Words in Intelligent Database Querying: Standalone and Internet-based Applications. Information Sciences 134(1-4), 71–109 (2001)

    Article  MATH  Google Scholar 

  14. Pons, J.E., Marín, N., Pons, O., Billiet, C., Tré, G.D.: A Relational Model for the Possibilistic Valid-time Approach. International Journal of Computational Intelligence Systems 5(6), 1068–1088 (2012)

    Article  Google Scholar 

  15. Pons Frias, J.E., Billiet, C., Pons, O., De Tré, G.: Aspects of Dealing with Imperfect Data in Temporal Databases. In: Pivert, O., Zadrozny, S. (eds.) Flexible Approaches in Data, Information and Knowledge Management. SCI, vol. 497, pp. 189–220. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  16. Qiang, Y., Asmussen, K., Delafontaine, M., Stichelbaut, B., De Tré, G., De Maeyer, P., Van De Weghe, N.: Handling Imperfect Time Intervals in a Two-Dimensional Space. Control and Cybernetics 39(4), 983–1010 (2010)

    MATH  Google Scholar 

  17. Schockaert, S., Cock, M.D.: Temporal reasoning about fuzzy intervals. Artificial Intelligence 172, 1158–1193 (2008)

    Article  MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Ghent, Belgium

    Christophe Billiet & Guy De Tré

Authors
  1. Christophe Billiet
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  2. Guy De Tré
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Corresponding author

Correspondence to Christophe Billiet .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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Billiet, C., De Tré, G. (2015). Combining Uncertainty and Vagueness in Time Intervals. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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