基于分组的属性约简快速枚举算法

Xiao Wei, N. Xu
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引用次数: 1

摘要

在研究属性约简时,我们需要列举所有的最小约简来证明属性约简算法的正确性。属性组合的爆炸式增长使得枚举算法的时间复杂度非常高。提出了一种对决策表行进行分组的算法来验证属性集是否约简。在此基础上,提出了一种快速寻找核心属性的算法。并通过优化枚举过程,将枚举数量减少,枚举时间减少到可接受的范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fast Enumeration Algorithm for Attribute Reduction Based on Grouping
When studying attribute reduction, we need to enumerate all the minimal reductions to prove the correctness of the attribute reduction algorithm. The explosion of attributes combination makes time complexity of the enumeration algorithm pretty high. An algorithm derived from grouping the rows of decision table is put forward to validate if an attribute set is reduction. Based on this algorithm, a fast algorithm for seeking core attribute is put forward too. And by optimizing the process of enumeration, the quantity of enumeration is reduced and the time of enumeration is reduced to acceptable scope.
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