基于粗集理论的数据库知识发现的属性约简算法 关键词： 属性约简；数据库；遗传算法；粗集 [gap=736]Keywords： attribution reduction；database；heredity algorithm；rough sets
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It is based on discernable matrix. It largely makes reduction simply and convenient,and can obtain the attribution reduction fastly.
文中在区分矩阵的基础上,改进了计算信息系统属性约简的方法,使属性约简计算量大幅度减小,可以快速得到给定要求下的属性约简。
参考来源 - 一种改进的基于差别矩阵的属性约简方法·2,447,543篇论文数据，部分数据来源于NoteExpress
But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.
但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。
To solve this problem, this paper proposes an algorithm for attribution reduction based on stored procedure, using the superiority of the database technology.
针对这一问题，本文利用数据库技术处理大数据集问题的优越性，提出了一种基于存储过程的属性约简算法。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
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