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- W2368780543 abstract "In decision table,the disadvantages of the current conditional entropy are analyzed deeply.To eliminate the limitations,a new conditional entropy is defined with separating consistent objects form inconsistent objects,and the judgment theorem with respect to knowledge reduction is obtained from inequality.Condition attributes are considered to estimate the significance for decision classes,and a heuristic algorithm is proposed.Theoretical analyses show that the proposed heuristic information is better and more efficient than the others,and its time complexity is relatively less.Experimental results prove the validity of this reduction method in searching the minimal or optimal reduction.So it enlarges the application area of rough set theory." @default.
- W2368780543 created "2016-06-24" @default.
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- W2368780543 date "2008-01-01" @default.
- W2368780543 modified "2023-09-23" @default.
- W2368780543 title "Reduction method of decision table based on new conditional entropy" @default.
- W2368780543 hasPublicationYear "2008" @default.
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