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文章基本信息

  • 标题:Data Recovery Method for Seafood Quality Safety System Based on Rough Set Theory
  • 本地全文:下载
  • 作者:Xu E ; Shuang Lin ; Lulu Jin
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:5
  • 页码:195-202
  • DOI:10.14257/ijsia.2014.8.5.18
  • 出版社:SERSC
  • 摘要:To solve the seafood quality and safety information table missing data problem, a method for filling missing data based on rough set was proposed. This method first determine whether there is missing data in information table, if there is, then the information table is divided into two parts, one for the complete information table, and the other part is totally incomplete information table, and then complete the information sheet structure similar matrix to calculate the attributes importance, then calculate the number of missing attributes in incomplete information table, and the calculated results conjunctive operation to fill the missing data. If it is not, then output directly. Numerical examples show that the method can be used filling the missing data in seafood quality and safety information table effectively
  • 关键词:Rough sets; seafood; fill; similarity matrix; quality and safety; frequency ; function.
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