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Information Systems Uncertainty Design and Implementation Combining: Rough, Fuzzy, and Intuitionistic Approaches

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Flexible Approaches in Data, Information and Knowledge Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 497))

Abstract

There are a number of alternative techniques for dealing with uncertainty. Here we discuss rough set, fuzzy rough set, and intuitionistic rough set approaches and how to incorporate uncertainty management using them in the relational database model. The impacts of rough set techniques on fundamental database concepts such as functional dependencies and information theory are also considered.

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Acknowledgments

This work was supported by the Naval Research Laboratory’s Base Program, Program Element No. 0602435N

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Authors and Affiliations

  1. Southeastern Louisiana University, Hammond, Louisiana, USA

    Theresa Beaubouef

  2. Naval Research Lab, Stennis Space Center, Mississippi, USA

    Frederick Petry

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  1. Theresa Beaubouef
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  2. Frederick Petry
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Correspondence to Frederick Petry .

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Editors and Affiliations

  1. IRISA/ENSSAT, Université de Rennes 1, Lannion Cedex, France

    Olivier Pivert

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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Beaubouef, T., Petry, F. (2014). Information Systems Uncertainty Design and Implementation Combining: Rough, Fuzzy, and Intuitionistic Approaches. In: Pivert, O., Zadrożny, S. (eds) Flexible Approaches in Data, Information and Knowledge Management. Studies in Computational Intelligence, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-319-00954-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-00954-4_7

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