ID 原文 译文
9444 针对这种情况,通过二分图刻画描述了轮廓和位置之间的关联关系,并基于该关联关系建立了Lθk隐私保护模型以及可抵抗轮廓关联攻击的假位置生成方法。 For this kind of situation, by binary chart describes the relationship between contour and location, and L was built based on the correlation relationship between theta k privacy protection models, and can resist outline correlation attack method for generating false position.
9445 该方法为每个服务位置生成轮廓信息相似的虚假位置,模糊了轮廓与真实位置之间的关联关系,保护了用户在导航或最近邻查询过程中的位置隐私。 The method for each service location to generate contour information similar false position, blurring the outline and the relationship between the real position, protect the user in the navigation or in the process of nearest neighbor query location privacy.
9446 最后,性能分析及实验验证进一步证实,所提方法可提供较高的隐私保护级别和较好的算法执行效率。 Finally, the performance analysis and experiments further confirmed that the proposed method can provide higher level of privacy protection and a better algorithm execution efficiency.
9447 基于区间值的证据合成理论可以有效地描述和处理不确定性问题,针对目前区间证据合成方法存在融合失效的问题,分析了其产生的原因并提出新的区间证据组合方法。 Evidence synthesis based on interval value theory can effectively describe and deal with uncertainty problems, according to the present problems fusion failure interval evidence synthesis method, and analyzed the reasons and puts forward a new interval evidence combination method.
9448 对证据源本身的特征进行提取,依此对证据进行修改,并提出两种优化方法用于区间信度结构下的证据合成。 ‭To extract the characteristics of source of evidence, the evidence for modification, and put forward two kinds of optimization method for interval reliability under the structure of evidence synthesis.
9449 数值实验结果表明,提出的方法收敛性、鲁棒性较好,在面对冲突区间证据融合时得到了合理的结果。 ‭Numerical experiment results show that the proposed method of convergence, good robustness in the face of conflict evidence fusion in reasonable results were obtained. ‭
9450 多粒度是粗糙集理论中的一种有效的数据处理方法,粒度约简是获取信息系统简洁规则的前提。 Is more granularity in rough set theory, a effective data processing method, particle size reduction is the precondition of information system is concise rules.
9451 研究了程度乐(悲)观多粒度粗糙集粒度约简理论,改进了程度粗糙集的下近似定义,提出了程度多粒度粗糙集的粒度矩阵。 Study the degree of pleasure (sad) particle granularity of rough set reduction theory, improved the degree of the rough set approximate definition, puts forward the multi-granularity granularity matrix of rough set.
9452 基于粒度矩阵,研究了程度多粒度粗糙集下近似计算理论和粒度的必要性,提出程度乐观多粒度粗糙集核粒度的定义。 Based on granularity matrix, the degree of multi-granularity approximate calculation under the rough set theory and the necessity of granularity, and put forward the degree of optimism multi-granularity rough set the definition of nuclear particle size.
9453 针对程度乐(悲)观多粒度粗糙集,提出基于粒度矩阵的粒度约简方法。 In view of the degree of pleasure (sad) view granularity of rough set, particle size reduction method based on granularity matrix is put forward.