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计算机工程 ›› 2012, Vol. 38 ›› Issue (2): 51-53. doi: 10.3969/j.issn.1000-3428.2012.02.016

• 软件技术与数据库 • 上一篇    下一篇

基于顺序表的启发式属性约简算法

梁宝华,汪世义,蔡 敏   

  1. (巢湖学院计算机科学与技术系,安徽 巢湖 238000)
  • 收稿日期:2011-04-16 出版日期:2012-01-20 发布日期:2012-01-20
  • 作者简介:梁宝华(1973-),男,讲师、硕士,主研方向:数据挖掘,粗糙集理论;汪世义,副教授、博士;蔡 敏,讲师
  • 基金资助:
    安徽省高校重点自然科学研究计划基金资助项目(KJ2008 A35ZC)

Heuristic Attribute Reduction Algorithm Based on Order Table

LIANG Bao-hua, WANG Shi-yi, CAI Min   

  1. (Department of Computer Science and Technology, Chaohu College, Chaohu 238000, China)
  • Received:2011-04-16 Online:2012-01-20 Published:2012-01-20

摘要: 利用顺序表存储数据集对象,并借助基数排序按关键字“分配”思想,求解U/C的时间复杂度为 、空间复杂度为O(U)。在求属性约简集时,为避免存储差别矩阵所需的大量空间,利用差别矩阵的直观性,给出一种计算差别对象个数公式,并以此为启发信息,设计2种动态约简算法,其时间/空间复杂度分别为 、max( )。理论分析与实验结果表明该算法是有效可行的。

关键词: 粗糙集, 属性重要性, 差别矩阵, 顺序表, 启发式

Abstract: Using order list to store data set objects and borrowing the idea of allocation by keys in radix sorting, its time and space complexity for U/C is and O(U) respectively. To avoid large space to store discernibility matrix and use the intuition of it, a expressions to compute the number of discernibility objects is presented when computing attribute reduction sets. Two algorithms are designed with time and space complexity only and max( ). Theoretical analysis and experimental results show that the algorithm is effective and feasible.

Key words: rough set, attribute importance, discernibility matrix, order table, heuristic

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