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Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam pp 137–155Cite as

Incorporating Rough Data in Database Design for Imprecise Information Representation

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 43))

Abstract

This chapter describes issues of database design for databases that provide representations that allow rough set data. We first present the definition of a rough relational database. A database can be designed by Entity-Relationship modeling or by defining the functional dependencies for the system. We describe rough set E-R models and rough functional dependencies. Based on the rough functional dependencies we provide the various related rough normal forms used in a database schema design. Finally, we discuss issues of database security and the use of rough spatial data in a rough relational database.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA, 70402, USA

    Theresa Beaubouef

  2. Naval Research Lab, Geospatial Science and Technology Branch, Stennis Space Center, Hancock County, MS, 39529, USA

    Frederick E. Petry

Authors
  1. Theresa Beaubouef
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  2. Frederick E. Petry
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Editor information

Editors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, Warsaw, 02097, Poland

    Andrzej Skowron

  2. Institute of Computer Science, University of Rzeszów, ul. Dekerta 2, Rzeszów, 35-030, Poland

    Zbigniew Suraj

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Beaubouef, T., Petry, F.E. (2013). Incorporating Rough Data in Database Design for Imprecise Information Representation. In: Skowron, A., Suraj, Z. (eds) Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30341-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-30341-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30340-1

  • Online ISBN: 978-3-642-30341-8

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