Skip to main content

A Methodology to Improve Object Oriented Database Systems with Fuzzy Types

  • Chapter
Technologies for Constructing Intelligent Systems 1

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 89))

  • 181 Accesses

Abstract

Fuzzy Types are a desirable feature that an Object Oriented Database System (OODB) must have in order to deal with vague structures. This kind of types are defined by means of different levels of precision or amplitude where properties are ordered according to their relationship with the concept represented by the type. The implementation of this new tool can be made building a new layer on an existing OODB, avoiding the development of a whole system which incorporates fuzzy types as an intrinsic characteristic. In this paper, we explain how the typical classes of an OODB can be used in order to represent a fuzzy type. New mechanisms of instantiation and inheritance are also modeled using this approach.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Bordogna G., Lucarella D., Pasi G. (1994) A fuzzy object oriented data model. In: Proceedings of FUZZ-IEEE, 313–317.

    Google Scholar 

  2. Bordogna G., Pasi G. (1998) Management of linguistic qualification of uncertainty in fuzzy databases. In: Proceedings of Information Processing and Management of Uncertainty in Knowledge Based Systems.

    Google Scholar 

  3. Bordogna G., Pasi G. (1999) Typicality based on soft aggregations in fuzzy object oriented databases. In: Proceedings of EUSFLAT, 489–492.

    Google Scholar 

  4. Bordogna G., Pasi G., Lucarella D. (1999) A fuzzy object oriented data model for managing vague and uncertain information. International Journal of Intelligent Systems 14: 623–651.

    Article  Google Scholar 

  5. Buneman P., Davidson S., Suciu D. (1995) Programming constructs for unstructured data. In: Proceedings of DBPL.

    Google Scholar 

  6. Buneman P., Davidson S., Fernandez M., Suciu D. (1997) Adding structure to unstructured data. In: Proceedings of ICDT, 336–350.

    Google Scholar 

  7. George R., Buckles B., Petry F. (1993) Modelling class hierarchies in the fuzzy object-oriented data model. Fuzzy Sets and Systems 60: 259–272.

    Article  MathSciNet  Google Scholar 

  8. Gyseghem N. V., Caluwe R. D. (1994) Fuzzy object-oriented databases: Some behavioral issues. In: Proceedings of EUFIT, 361–364.

    Google Scholar 

  9. Gyseghem N. V., Caluwe R. D. (1998) Imprecision and uncertainty in the UFO database model. Journal of the American Society for Information Science 49: 236252.

    Google Scholar 

  10. Marin N., Vila M.A., Pons O. (2000) Fuzzy types: A new concept of type for managing vague structures. International Journal of Intelligent Systems 15: 10611085.

    Google Scholar 

  11. Marin N., Blanco I.J., Pons 0., Vila M.A. (2000) Extracting fuzzy types from datasets analyzing null values in attributes. Tech. Rep. DECSAI-00–01-

    Google Scholar 

  12. Department of Computer Science and Artificial Intelligence, Universitiy of Granada.

    Google Scholar 

  13. Marin N., Blanco I.J., Pons 0., Vila M.A. (2000) Fuzzy types as a new layer on an object oriented database system. In: Proceedings of IPMU, 1099.

    Google Scholar 

  14. Marin N., Pons 0., Vila M.A. (2000) Softening the object-oriented database model: imprecision, uncertainty, and fuzzy types. Tech. Rep. DECSAI-00–01-

    Google Scholar 

  15. Department of Computer Science and Artificial Intelligence, Universitiy of Granada.

    Google Scholar 

  16. Nestorov S., Abiteboul S., Motwani R. (1997) Inferring structure in semistructured data. In: Proceedings of Workshop on Management of Semistructured Data held in conjunction with SIGMOD.

    Google Scholar 

  17. Papakonstantinou Y., Garca-Molina H., Widom J. (1995) Object exchange across heterogeneous information sources. In: Proceedings of IEEE International Conference on Data Engineering.

    Google Scholar 

  18. Rossazza J.-P., Dubois D., Prade H. (1998) Fuzzy and Uncertain Object-Oriented Databases. Concepts and Models. A hierarchical model of fuzzy classes. 13:21–61. Advances in Fuzzy Systems- Applications and Theory.

    Google Scholar 

  19. Vila M.A., Cubero J.C., Medina J.M., Pons O. (1996) A conceptual approach for dealing with imprecision and uncertainty in object-based data models. International Journal of Intelligent Systems 11: 791–806.

    Article  MATH  Google Scholar 

  20. Vila M.A., Cubero J.C., Medina J.M., Pons O. (1998) A fuzzy object–oriented data model represented by means of a semantic data model. Tech. Rep. DECSAI98–00–00. Department of Computer Science and Artificial Intelligence – University of Granada.

    Google Scholar 

  21. Yazici A., Aksoy D., George R. (1996) The similarity-based fuzzy object-oriented data model. In: Proceedings of IPMU, vol. 3, 1177–1182.

    Google Scholar 

  22. Yazici A., Koyuncu M. (1997) Fuzzy object-oriented database modeling coupled with fuzzy logic. Fuzzy Sets and Systems 89: 1–26.

    Article  Google Scholar 

  23. Yazici A., George R., Aksoy D. (1998) Design and implementation issues in the fuzzy object-oriented data model. Journal of Information Sciences 108: 241–260.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Marín, N., Pons, O., Blanco, I.J., Vila, M.A. (2002). A Methodology to Improve Object Oriented Database Systems with Fuzzy Types. In: Bouchon-Meunier, B., Gutiérrez-Ríos, J., Magdalena, L., Yager, R.R. (eds) Technologies for Constructing Intelligent Systems 1. Studies in Fuzziness and Soft Computing, vol 89. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1797-3_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1797-3_30

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00329-9

  • Online ISBN: 978-3-7908-1797-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics