The Algorithm of Obtaining Best Rules Based on Rough Set

Shulin Chen, Lei Wang
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Abstract

With the fast development of the technology in Database and Internet, excessive information has become a problem that decision makers engage in electronic commerce have to affront. This paper firstly establishes the decision table for excessive data, then reduces knowledge of the decision table, and obtains the best rules. This can reduce the redundancy of the data, and improve the efficiency of knowledge obtaining. Because of the high time complexity and spatial complexity the general algorithm has, this paper proposed a new algorithm based on analogical matrix, and carried out the algorithm. The practice proves that the algorithm can improve the efficiency of knowledge obtaining, and the rules is tidy and best.
基于粗糙集的最佳规则获取算法
随着数据库技术和Internet技术的快速发展,信息过剩已成为电子商务决策者不得不面对的问题。本文首先对过量数据建立决策表,然后对决策表的知识进行约简,得到最优规则。这样可以减少数据的冗余,提高知识获取的效率。针对一般算法具有较高的时间复杂度和空间复杂度的问题,本文提出了一种基于类比矩阵的新算法,并对该算法进行了实现。实践证明,该算法能提高知识获取的效率,且规则整洁、优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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