Abstract
A new algorithm of the rule extraction is put forward to overcome the limitation of tradition rule extraction. The rule extraction of decision information systems can be obtained directly from the decision classes, and the class table of information system can be generated by cluster analysis theory. It simplifies the original information system and reduces the scope of rule extraction. The certain and uncertain basic decision rules can be directly generated by rough sets theory, and the basic decision rule database will be generated as well. Simultaneously, any certain rules can generate from the basic decision rules have been proved. The description of algorithm is given and the efficiency of the algorithm is analyzed as well.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Cui, J. (2012). The Algorithm of Extracting the Certain and Uncertain Rule. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_41
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DOI: https://doi.org/10.1007/978-3-642-29637-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29636-9
Online ISBN: 978-3-642-29637-6
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