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基于隶属度的数据库模糊结果排序方法
引用本文:刘春晓,马君,孟祥福.基于隶属度的数据库模糊结果排序方法[J].辽宁工学院学报,2011(5):295-297,319.
作者姓名:刘春晓  马君  孟祥福
作者单位:[1]辽宁工业大学电子与信息工程学院,辽宁锦州121001 [2]锦州石化集体企业管理中心,辽宁锦州121001 [3]辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105
基金项目:国家青年科学基金项目(61003162)
摘    要:数据库模糊查询会产生很多查询结果,因此有必要将查询结果按照用户需求进行排序。首先给出了模糊查询定义,然后根据模糊集理论提出了基于隶属度的模糊查询结果排序方法,该方法综合考虑了查询指定的属性权重和查询结果对模糊查询的隶属度。实验及分析证明,提出的模糊查询结果排序算法能够较好地满足用户需求,具有较高的排序质量。

关 键 词:关系数据库  模糊查询  隶属度  结果排序

Membership Degree-based Database Fuzzy Query Results Ranking
LIU Chun-xiao,MA Jun,MENG Xiang-fu.Membership Degree-based Database Fuzzy Query Results Ranking[J].Journal of Liaoning Institute of Technology(Natural Science Edition),2011(5):295-297,319.
Authors:LIU Chun-xiao  MA Jun  MENG Xiang-fu
Affiliation:1.Electronics & Information Engineering College,Liaoning University of Technology,Jinzhou 121001,China; 2.Collective Enterprise Management Center of Jinzhou Petrochemical Company,Jinzhou 121001,China; 3.Facility of Electronic and Information Engineering,Liaoning Technical University,Huludao 125105,China)
Abstract:There may be too many duples in the answer after flexible query based on traditional relational database,so it is especially essential to rank the duples in answer.Firstly the definition of fuzzy query was introduced.Then,a membership degree-based fuzzy query results ranking approach was proposed.Both of the attribute weight and the membership degree of query results to the fuzzy query were all considered comprehensively.Experiments and analysis verifies that the fuzzy query results ranking approach can meet needs of users much better and has higher ranking quality as well.
Keywords:relational database  fuzzy query  degree-based  top-k ranking
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