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    Rule acquisition and complexity reduction in formal decision contexts

    Access Status
    Fulltext not available
    Authors
    Shao, M.
    Leung, Yee-Hong
    Wu, W.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Shao, M. and Leung, Y. and Wu, W. 2014. Rule acquisition and complexity reduction in formal decision contexts. International Journal of Approximate Reasoning. 55 (1 PART 2): pp. 259-274.
    Source Title
    International Journal of Approximate Reasoning
    DOI
    10.1016/j.ijar.2013.04.011
    ISSN
    0888-613X
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/56570
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we introduce the notion of formal decision context as an extension of formal contexts by employing the notion of decision information table. We use formal concept analysis to formulate an approach to extract "if-then" rule from formal decision contexts. We also construct a knowledge-lossless method for complexity reduction in formal decision contexts so that the maximum rules extracted from the reduced formal decision contexts are identical to that extracted from the initial decision formal contexts. More specifically, we develop the discernibility matrix and the discernibility function in formal decision contexts to compute all of the attribute reductions without loss of knowledge.

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