摘要
针对传统的电子资源信息检索方法,在大量复杂数据干扰时存在检索信息不全、检索结果不精确、检索效率过低等问题,提出一种基于三角模糊集算法的图书馆电子资源信息分布式多模块检索方法,首先利用决策树算法对图书馆电子资源进行信息采集及多模块划分,引用拉格朗日算法对电子资源信息多模块划分结果提取其最优特征;其次通过最优特征计算相同特征信息的偏斜率,根据偏斜程度对特征信息进行分类,细分其类边缘,建立特征信息辨别函数,对电子资源信息进行检测定位,最终得到图书馆电子资源信息分布式多模块检索结果。仿真结果表明,所提检索方法相比传统检索方法的查全率、查准率更高,检索耗时更少。
When a large number of complex data interferes, the traditional electronic resource information retrieval method will lead to incomplete retrieval information, inaccurate retrieval result and low retrieval efficiency. In this article, a distributed multi-module retrieval method for library electronic resource information based on triangular fuzzy set algorithm was proposed. Firstly, we used the decision tree algorithm to collect information of library electronic resource and perform multi-module division. Lagrangian algorithm was used to extract the optimal feature of the multi-module division result of electronic resource information. Secondly, the skewness of same feature information was calculated by the optimal feature. According to the deflection degree, the feature information was classified and the edge of the class was subdivided. The discriminant function of feature information was established. The electronic resource information was detected and located. Finally, the distributed multi-module retrieval result of library electronic resource information was obtained. Simulation results show that the proposed retrieval method has higher recall rate and precision rate. Meanwhile, the retrieval time is less than that of traditional method.
作者
于爽
李淑梅
YU Shuang;LI Shu-mei(Library,Changchun University of Technology,Changchun Jilin 130000,China)
出处
《计算机仿真》
北大核心
2020年第6期439-442,共4页
Computer Simulation
基金
吉林省自然科学基金:(J20170550042)。
关键词
电子资源信息
图书馆
分布式多模块检索
三角模糊集算法
Electronic resource information
Library
Distributed multi-module retrieval
Triangular fuzzy set
