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- W2385889707 abstract "The conditional rough entropy of decision concept sets is proposed followed by establishment of the relation between knowledge and rough entropy in decision tables,and the conditional entropy of knowldege is generalized.The conclusion that conditional entropy of knowledge decreases monotonously as the information granularities become finer is obtained,and the judgment theorem with respect to knowledge reduction is obtained from inequality,and the heuristic method is received.The virtues of hierarchical reduction are carried out to design the heuristic reduction algorithms.Finally,the experimental analyses and comparative results show that it can obtain meaningful and small relative knowledge reduction." @default.
- W2385889707 created "2016-06-24" @default.
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- W2385889707 date "2008-01-01" @default.
- W2385889707 modified "2023-09-22" @default.
- W2385889707 title "Knowledge Reduction of Decision Tables and Its Characterizations of Conditional Entropy" @default.
- W2385889707 hasPublicationYear "2008" @default.
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