Abstract
The theory of rough sets has become well established as an approach for uncertainty management in a wide variety of applications. Various fuzzy generalizations of rough approximations have been made over the years. A new framework for the study of low approximation, upper approximation, attribute reduction are defined in fuzzy decision system in which both lower bound reduction, upper bound reduction, bound reduction are given. Rule extraction and prediction are investigated through one example.
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© 2010 Springer-Verlag Berlin Heidelberg
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An, Q. (2010). A New Method of Attribute Reduction and Prediction in Fuzzy Decision System. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_7
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DOI: https://doi.org/10.1007/978-3-642-14831-6_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14830-9
Online ISBN: 978-3-642-14831-6
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