Abstract
Many applications deal with data which are not easy to accommodate in conventional data models. This paper shows how the advanced features of modern programming platforms allow the transparent implementation of lazy typing capabilities which can then be easily used by programmers. As a first approximation to the problem, we show how this capabilities can be used to develop applications with fuzzy types.
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References
Serge Abiteboul. Querying semi-structured data. In ICDT, volume 6, pages 1–18, 1997.
F. Berzal, J.C. Cubero, N. Marín, and O. Pons. Enabling fuzzy object comparison in modern programming platforms through reflection. In Lecture Notes in Artificial Intelligence, pages 660–667, 2003.
F. Berzal, N. Marín, O. Pons, and M. A. Vila. Using classical object-oriented features to build a foodbs. In Jonathan Lee, editor, Software Engineering with Computational Intelligence. Springer Verlag, 2003.
Peter Buneman. Semistructured data. In PODS’97, 1997. Invited Tutorial.
Rita De Caluwe. Fuzzy and Uncertain Object-Oriented Databases: Concepts and Models, volume 13 of Advances in Fuzzy Systems-Applications and Theory. World Scientific, 1997.
J. Lee, J-Y. Kuo, and N-L. Xue. A note on current approaches to extent fuzzy logic to object oriented modeling. International Journal of Intelligent Systems, 16:807–820, 2001.
N. Marín, M. A. Vila, and O. Pons. Fuzzy types: A new concept of type for managing vague structures. International Journal of Intelligent Systems, 15:1061–1085, 2000.
N. Marín, M. A. Vila, and O. Pons. A strategy for adding fuzzy types to an object-oriented database system. International Journal of Intelligent Systems, 16:863–880, 2001.
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© 2005 Springer-Verlag Berlin Heidelberg
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Berzal, F., Cubero, J.C., Marín, N., Vila, M.A. (2005). Fuzzy Types: A First Step Towards Lazy Types in the .NET Framework. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_38
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DOI: https://doi.org/10.1007/3-540-31182-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22807-3
Online ISBN: 978-3-540-31182-9
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