粗糙集属性决策表约简算法研究
首发时间:2008-05-20
摘要:本论文通过对无决策属性的粗糙集决策表的研究,按照粗糙集最小决策算法的原则,提出一种新的核属性算法和最小决策算法。实验验证,基于以上两种算法开发出的程序简单易懂,并且源代码少,能广泛适用于所有无决策属性的粗糙集决策表模型分析。
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The study on the algorithm of reduction of decision attribute system of the rough set
Abstract:This paper discussed the rough set system without the decision attribute. According to the principle of the minimum decision algorithm of the rough set, a new core attribute algorithm and minimum algorithm were proposed. The program based on the new algorithm has less source code and the validity and feasibility of the program was demonstrated by the experiments. The program can be suitable for all the models of the rough set system without the decision attribute.
Keywords: rough set decision attribute system core attribute algorithm minimum decision algorithm
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No.2156522352112112****
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