吉林大学学报(信息科学版)

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面向食品安全评价的属性约简方法研究

鄂旭1,2, 韩芳3, 侯建1, 毕佳娜1, 张龙昌1   

  1. 1. 渤海大学 信息科学与技术学院, 辽宁 锦州 121001; 2. 中国产业安全研究中心, 北京 100084;3. 辽宁工业大学 电子与信息工程学院, 辽宁 锦州 121001
  • 收稿日期:2013-03-29 出版日期:2013-05-27 发布日期:2013-06-07
  • 作者简介:鄂旭(1971—), 男(蒙古族), 辽宁丹东人, 渤海大学教授, 主要从事数据挖掘与食品安全物联网研究, (Tel)86-13940634659(E-mail)exu21@163.com。
  • 基金资助:

    辽宁省百千万人才基金择优基金资助项目(2012921058); 中国博士后基金资助项目(2012M520158); 辽宁省教育厅基金资助项目(L2012397; L2012396; L2012400)

Attribute Reduction Algorithm for Food Safety Evaluation

E Xu1,2, HAN Fang3, HOU Jian1, BI Jia-na1, ZHANG Long-chang1   

  1. 1. College of Information Science & Technology, Bohai University, Jinzhou 121001, China; 2. China Center for Industrial Security Research,Beijing 100084, China; 3. School of Electronics and Information, Liaoning University of Technology, Jinzhou 121001, China
  • Received:2013-03-29 Online:2013-05-27 Published:2013-06-07

摘要:

针对现有食品安全评价指标约简方法计算效率低的问题, 提出一种新的属性约简方法〖CD2〗基于粗糙度的属性约简方法。该约简属性从空集开始, 引入粗糙度概念, 利用粗糙度PB(X)作为条件属性的选择标准, 逐步地将粗糙度值最小的条件属性加入到约简集中, 得到新的论域, 并用递归的处理方法简化属性的搜索空间, 直到论域变为空集, 获得简化的属性集。实验证明了该方法的正确性和有效性。

关键词: 属性约简, 粗糙集, 粗糙度, 论域, 递归

Abstract:

According to analyzing the existing attribute reduction algorithms of food safety evaluation and the shortcoming of calculation of inefficient, the article defined a new attribute reduction algorithm based on roughness. The algorithm introduced roughness, beginning with null set and taking roughness PB(X) as selection criterion of condition attribute, got a new union by adding the minimum roughness into reduction set step by step, reduced search space using recursive method until the universe was empty and got reduced attribute set. Finally, the validity and availability of the algorithms were demonstrated.

Key words: attribute reduction, rough set, roughness, union, recursion

中图分类号: 

  • TP311