Simplified decision table and its attributes reduction
Gui Xian-cai
Abstract
Gui Xian-cai
Abstract
A new method for computing core and attributes reduction of the inconsistent decision table is presented.First,U/C is used to simplify decision table.Furthermore,a new discernibility matrix is defined in simplified decision table.Finally,discernibility function is used to computing all attributes reductions.The method is reduced more stored spaces and times in produced discernibility matrix.Theoretical analysis and example show that the attributes reduction method is more efficient than those existing methods based on discernibility matrix and discernibility function.
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A new method for computing core and attributes reduction of the inconsistent decision table is presented.First,U/C is used to simplify decision table.Furthermore,a new discernibility matrix is defined in simplified decision table.Finally,discernibility function is used to computing all attributes reductions.The method is reduced more stored spaces and times in produced discernibility matrix.Theoretical analysis and example show that the attributes reduction method is more efficient than those existing methods based on discernibility matrix and discernibility function.
Key concepts: Decision table, Table (database), Computer science, Reduction (mathematics), Rough set, Matrix (chemical analysis), Function (biology), Algorithm