摘要
对海量医药资源用户信息的定位优化管理,能够有效提高医药资源应用系统的稳定性。对用户信息的定位优化管理,需要计算出用户间信任关系值,对近似度值和信任评价值进行调和,完成海量医药资源中用户信息的定位管理。传统方法先将用户评分项并集作为似性度量基础,将并集中的医药资源目标用户进行分类,但忽略了近似度值和信任评价值之间的调和过程,导致定位精度低。提出基于叠加度融合信任计算的海量医药资源对用户信息定位优化管理方法。计算出目标用户与用户集中其它用户的近似度,通过近似度和叠加度两方面获得目标对象的最佳邻居集,计算出用户间信任关系值和信任评价度,对近似度值和信任评价值进行调和,计算出用户间综合近似度调和平均值,由此完成海量医药资源对用户信息定位优化管理。实验结果表明,所提方法能够有效提高医药资源应用系统的稳定性,且抗攻击能力较强。
A location optimization management method for user information in massive medical resources is pro- posed based on trust computing of fusing superposition degree. The approximation degrees between target user and other users are worked out, and the optimum neighbor set of target object is obtained through degree of approximation and superposition. The trust relation value and trust evaluation degree are worked out, and the values of approxima- tion degree and trust evaluation are reconciled. The compromise average value of integration approximation degree for users is also worked out. Finally, the location optimization management for user information of massive medicine re- sources is finished. Experimental results show that the proposed method can effectively enhance stability of application system of medicine resource. It has strong ability of anti-attack.
出处
《计算机仿真》
北大核心
2017年第7期378-381,共4页
Computer Simulation
关键词
海量医药资源
用户信息
定位优化管理
Massive medical resources
User information
Location optimization management
