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Extending RDBMS for Allowing Fuzzy Quantified Queries

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Book cover Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

This paper is mainly concerned with the extension of database management systems querying capabilities, so that users may address queries involving preferences and get discriminated answers. The use of flexible predicates and linguistic quantifiers interpreted in the framework of the fuzzy set theory is advocated for defining a query language, called SQLf. This language extents the functionalities offered by SQL and it is considered here from a query processing point of view. We concentrate this work in the fuzzy quantified SQLf queries semantic and evaluation mechanism.

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References

  1. P. Bosc, O. Pivert “Some approaches for relational databases flexible querying”, International Journal of Intelligent Systems, Vol 1, No. 3/4, pp. 323–354, Feb 1992.

    Google Scholar 

  2. P. Bosc, O. Pivert “SQLf: A Relational Database Language for Fuzzy Querying”, IEEE Transactions on Fuzzy Systems, Vol 3, No. 1, Feb 1995.

    Google Scholar 

  3. P. Bosc, O. Pivert, K. Farquhar “Integrating Fuzzy Queries into an Existing Database Management System: An Example”, Intern. Journal of Intelligent Syst., Vol 9, pp 475–492, 1994

    Article  Google Scholar 

  4. P. Bosc, O. Pivert “On the efficiency of the alpha-cut distribution method to evaluate simple fuzzy relational queries ”, Advances in Fuzzy Systems-Applications and Theory, Vol 4, Fuzzy Logic and Soft Computing, Bouchon-Meunier, R.R. Yager, L.A. Zadeh eds, Wold Scientific, pp 251–260, 1995.

    Google Scholar 

  5. P. Bosc, L. Lietard, O. Pivert, “Quantified statements and Database Fuzzy querying”, Fuzziness in Database Management Systems, P. Bosc & J. Kacprzyk Eds, Physica Verlag, pp. 275–308, 1995.

    Google Scholar 

  6. P. Bosc, O. Pivert, “SQLf query functionality on top of a regular relational DBMS”, in: Knowledge Management in Fuzzy Databases, O. Pons, M.A. Vila, and J. Kacprzyk (Eds.), Heidelberg: Physica-Verlag, to appear.

    Google Scholar 

  7. Buckles, J. Buckley & F. Petry “Architecture of FAME: Fuzzy Address Mapping Environment”, Proc. of 3rd IEEE Intern. Conference on Fuzzy Syst., pp 308–312, 1994.

    Google Scholar 

  8. E. Cox “Relational Database Queries using Fuzzy Logic”, Artificial Intelligent Expert, pp 23–29, Jan 1995.

    Google Scholar 

  9. Dubois, H. Prade “Fuzzy cardinality and the modeling of imp recise quantification, Fuzzy Sets and Systems”, Vol. 16, No. 2, pp 199–230, 1985.

    Article  MathSciNet  Google Scholar 

  10. J. Kacpryzyk & S. Zadrozny, “Fuzzy Queries in Microsoft Access™v.2”, Proceedings of Fuzzy IEEE Workshop on Fuzzy Database Syst. and Information Retrieval, pp 61–66, 1995.

    Google Scholar 

  11. L. Lietard “Contribution `va L`interrogation Flexible de Bases de Donnees: etude des propositions quantifie`rs floues” These de Docteur de Lúniversite de Rennes

    Google Scholar 

  12. H. Nakajima, T. Sogoh, M. Arao “Fuzzy Database Language and Library-Fuzzy Extension to SQL”, Proceedings of 2ndnd IEEE Int. Conference on Fuzzy Syst., pp 477–482, 1983.

    Google Scholar 

  13. H. Prade, “A tow-layer fuzzy pattern matching procedure for the evaluation of conditions involving vague quantifiers”, Journal of Intelligent and Robotics Syst., No. 3, pp 93–101, 1990.

    Google Scholar 

  14. F. E. Petry “Fuzzy Databases Principles and Applications” International Series in Intelligent Technologies, Klumer Academic Publishers.

    Google Scholar 

  15. D. Ralescu “Cardinality, quantifiers, and the aggregation of fuzzy criteria” Fuzzy Sets and Systems 69, pp 355–365. 1995

    Article  MathSciNet  Google Scholar 

  16. L. Tineo, “Interrogaciones Flexibles en Bases de Datos Relacionales”, Universidad Simon Bolivar, Technical Report, Jan 1998.

    Google Scholar 

  17. R. Yager, “Connectives and quantifiers in fuzzay sets” Fuzzy Sets Syst. 40, 39–76 (1991).

    Article  Google Scholar 

  18. L.A. Zadeh, “A theory of approximate reasoning” in Machine Intelligence, Vol. 9, J. Hayes, D. Michie, and L. I. Mikulich, Eds., Halstead Press, New York, 1979, pp. 149–194.

    Google Scholar 

  19. L.A. Zadeh, “A computational approch to fuzzy quantifiers in natural languages”, Computer Mathematics with Applications, No. 9, pp 149–183, 1983.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Departamento de Computatión, Universidad Simón Bolívar, Apartado 89000, Caracas, 1080-A, Venezuela

    Leonid José Tineo Rodríguez

Authors
  1. Leonid José Tineo Rodríguez
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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Rodríguez, L.J.T. (2000). Extending RDBMS for Allowing Fuzzy Quantified Queries. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_38

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  • DOI: https://doi.org/10.1007/3-540-44469-6_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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