关系数据库模糊查询的研究

Research on Fuzzy Queries in Relational Database

将隶属函数引入模糊查询中,提出能在查询结果中反映查询模糊性的隶属度。用户通过设置隶属函数的参数、直方图的值调整模糊范围的大小,通过设置不同的可信度查询不同可靠性的数据。实验结果表明,可信度设置得越高,查询结果越精确,得到的结果数目越少,设置的可信度越低,查询结果越不精确,但能得到较多的查询结果。

This paper introduces membership function into fuzzy queries, and presents membership degree which can reflect its fuzziness in the query result. Users can adapt the scale of fuzzy range by setting parameter in membership function or altering values in the histogram, and set different confidence to query different reliable data. Experimental result shows that, the higher the confidence is, the more precise the result is, but the less the result is. Inversely, the lower the confidence is, the less precise the result is, but users can get more query results.