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Using Modularity with Rough Information Systems

  • Ahmed T. Shawky
  • Hesham A. Hefny
  • Ashraf H. Abd Elwhab
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

We are looking forward to propose a novel technique, which depends on using modular techniques and integration between fuzzy set concepts and rough set theory in mining rough systems. In this research We propose a set of algorithms For a novel model allows introducing modularity mechanism; by introduce decision grouping mechanism for getting the optimizing decision. This approach provides flexibility in decision making verifies all decision standards and determines decision requirements, through modularizing rough information system, extraction of rough association rules and developing mechanisms for decision grouping.

Keywords

Rough sets Fuzzy sets modularity Data mining 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Ahmed T. Shawky
    • 1
  • Hesham A. Hefny
    • 1
  • Ashraf H. Abd Elwhab
    • 2
  1. 1.Computer Sciences and Information Department, Institute of Statistics and ResearchCairo UniversityCairoEgypt
  2. 2.Computer Sciences and Systems DepartmentElectronics Research InstituteCairoEgypt

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