Computer Science ›› 2015, Vol. 42 ›› Issue (6): 210-215.

Improved Algorithms for Attribute Reduction Based on Simple Binary Discernibility Matrix

WANG Ya-qi and FAN Nian-bai

• Online:2018-11-14 Published:2018-11-14

Abstract: In the algorithms for attribute reduction based on simple binary discernibility matrix,elimination means that redundant attributes are excluded from reduct sets one by one until the last is a minimum reduct.The traditional elimination based on simple binary discernibility has the following shortcomings:lower efficiency and being not able to get the optimal solution.In view of those problems,an improved algorithm for attribute reduction based on simple binary discernibility matrix was presented.Firstly,the decision table was simplified.Secondly,an improved algorithm to simplify binary discernibility matrix was proposed.Lastly,for attribute reduction,we presented a new measure which can delete more than one redundant attributes and proved the feasibility of the measure.Moreover,the experiment results prove the correctness of the method.

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