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An Algorithm of Attribute Reduction Based on Rough Sets

机译:基于粗糙集的属性约简算法

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摘要

The concept and the nature of attribute reduction from the view of logic was analyzed, and based on this analogical matrix was proposed. Then proposed a new algorithm of attribute reduction using the analogical matrix, and the correctness and feasibility of it was proved. The algorithm can reduce time complexity and spatial complexity of attribute reduction, and do not break the coherence of information contained in decision table. The analysis of the realistic example shows that the algorithm is effective and feasible.
机译:从逻辑的角度分析了属性约简的概念和性质,并在此类比矩阵的基础上提出了属性约简的概念。然后用类比矩阵提出了一种新的属性约简算法,并证明了该算法的正确性和可行性。该算法可以减少属性约简的时间复杂度和空间复杂度,并且不会破坏决策表中包含的信息的一致性。实例分析表明,该算法是有效可行的。

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