Data Recovery Method for Seafood Quality Safety System Based on Rough Set Theory

被引：5
|
作者：
Xu, E. [1 ]
Lin, Shuang [1 ]
Jin, Lulu [1 ]
机构：
[1] Bohai Univ, Dept Informat Sci Technol, Jinzhou 121000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2014年 / 8卷 / 05期
关键词：
Rough sets; seafood; fill; similarity matrix; quality and safety; frequency function;
D O I：
10.14257/ijsia.2014.8.5.18
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：195 / 201
页数：7
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