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.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Shawky, A.T., Hefny, H.A., Abd Elwhab, A.H. (2012). Using Modularity with Rough Information Systems. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_60
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DOI: https://doi.org/10.1007/978-3-642-30157-5_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30156-8
Online ISBN: 978-3-642-30157-5
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