New method of attribute reduction algorithm for inconsistent decision table
Haitao Liu, Zhai Jingmei, Xiao Xu
Abstract
Haitao Liu, Zhai Jingmei, Xiao Xu
Abstract
In order to solve the disadvantages of the attribute reduction algorithm for inconsistent decision table,combining information view and the algebra view in rough set,the discernibility matrix is improved,a new method of attribute reduction algorithm is presented,which reduces the time complexity in the case of the positive regions and information entropy unchanged after attribute reduction.The example of computing and analyzing with the proposed method shows its advantages and feasibility.
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In order to solve the disadvantages of the attribute reduction algorithm for inconsistent decision table,combining information view and the algebra view in rough set,the discernibility matrix is improved,a new method of attribute reduction algorithm is presented,which reduces the time complexity in the case of the positive regions and information entropy unchanged after attribute reduction.The example of computing and analyzing with the proposed method shows its advantages and feasibility.
Key concepts: Rough set, Decision table, Reduction (mathematics), Entropy (arrow of time), Attribute domain, Algorithm, Computer science, Matrix (chemical analysis)