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Repercussions of Fuzzy Databases Migration on Programs

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Uncertainty Approaches for Spatial Data Modeling and Processing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 271))

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Abstract

Fuzzy databases have been introduced to deal with uncertain or incomplete information in many applications demonstrating the efficiency of processing fuzzy queries. For these reasons, many organizations aim to integrate the fuzzy databases advantages (flexible querying, handling imprecise data, fuzzy data mining, ...), minimizing the transformation costs. The best solution is to offer a smoothly migration toward this technology. However, the migration of applications or databases in enterprises arises from changes in business demands or technology challenges. The need for this migration is to improve operational efficiency or to manage risk, data migration outage, as well as performance. This chapter is about the migration towards fuzzy databases. We present our migration approach and we concentrate on their repercussions on programs.

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Author information

Authors and Affiliations

  1. Department of Computer Sciences, Faculty of Sciences of Tunis, El Manar 1, Campus Universitaire, 2092, Tunis, Tunisia

    Mohamed Ali Ben Hassine & Habib Ounelli

  2. Department of languages and Computer Sciences, University of Malaga, 29071, Spain

    José Galindo

Authors
  1. Mohamed Ali Ben Hassine
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  2. José Galindo
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  3. Habib Ounelli
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Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Ul.Newelska 6, 01-447, Warszawa, Poland

    Janusz Kacprzyk

  2. Computer Scientist, Section 7440.5, Naval Research Laboratory, Stennis Space Center, 39529, MS, USA

    Frederick E. Petry

  3. Multimedia Database Laboratory, Department of Computer Engineering, Middle East Technical University, 06531, Ankara, Turkey

    Adnan Yazici

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Ben Hassine, M.A., Galindo, J., Ounelli, H. (2010). Repercussions of Fuzzy Databases Migration on Programs. In: Kacprzyk, J., Petry, F.E., Yazici, A. (eds) Uncertainty Approaches for Spatial Data Modeling and Processing. Studies in Computational Intelligence, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10663-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-10663-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10662-0

  • Online ISBN: 978-3-642-10663-7

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