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2008 International Symposium on Computational Intelligence and Design
Incremental Core Computing for Incomplete Decision Tables
October 17-October 18
ISBN: 978-0-7695-3311-7
Core is an important concept of rough set theory and many efficient reduction methods were proposed from the computation of core. However, very little work has been performed on updating a core, especially for incomplete decision tables. In this paper an incremental algorithm for updating the core of an incomplete decision table is presented based on discernibility matrix, which may obtain a new core through several simple operations on original discernibility matrix when a new object is added to the decision table. Theoretical analysis and example show that the incremental core algorithm proposed is efficient for incomplete decision tables.
Index Terms:
rough sets, core, incomplete decision table, incremental algorithm
Citation:
Renpu Li, Dedong Zhang, Yongsheng Zhao, Xinting Tang, "Incremental Core Computing for Incomplete Decision Tables," iscid, vol. 1, pp.270-273, 2008 International Symposium on Computational Intelligence and Design, 2008
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