1) approximate aggregation
近似聚集
1.
So, this paper proposes an approximate aggregation method for time-varying data in P2P networks based on uniform sampling.
为此,提出了一种P2P网络中基于均衡采样的时变数据近似聚集算法,理论分析和实验结果表明,该聚集算法在处理时变数据时优于已有的算法,可以有效地应用于存在时变数据的P2P网络中。
2) approximate aggregate queries
近似聚集查询
1.
Analysis shows that MBF has great flexibility and supports approximate aggregate queries over historical data within time intervals,where optimal parameters of MBF are provided in term of query accuracy.
理论分析证明,MBF具有较大的灵活性,能有效支持时间范围内历史数据元素的近似聚集查询。
3) lower approximation
下近似集
1.
similarity measure, distance measure and entropy measure are defined for the object rank, then upper and lower approximations of concept are defined by using this fuzzy set method , and decision rules are achieved.
本文提出FPS模型解决这种不确定性,并在此基础上,为概念归纳推理定义了模糊粗糙集,为对象的排序定义了相似性测度、距离测度和熵测度,用模糊集方法定义了概念的上下近似集,并得出了决策规则。
4) upper approximation
上近似集
1.
This paper simply introduces rough set theory and its applications,and then it has a detailed statement on knowledge,lower and upper approximation sets and other basic concepts about it.
在介绍粗糙集理论及其应用的基础上,着重围绕粗糙集理论中的知识,下、上近似集等基本概念展开了详细的阐述。
5) lower approximate set
下近似集
6) upper approximation set
上近似集
1.
And several rough set operation algorithms are also offered in this paper,such as upper approximation set,lower approximation set,intersection,cardinal number and so on.
通过讨论二进制与粗糙集之间的内在联系,提出基于二进制的粗糙集运算理论,并借助二进制的位运算操作,给出粗糙集的上近似集和下近似集、等价类的交、集合的基数的运算算法。
补充资料：近似
相近或相像但不相同：这两个地区的方音有些～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条