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应用P-集合,提出动态数据偏离度概念与动态数据距离的概念。动态数据偏离度包括内-动态数据偏离度、外-动态数据偏离度与内-外动态数据偏离度;动态数据距离包括内-动态数据距离、外-动态数据距离与内-外动态数据距离。应用动态数据偏离度与动态数据距离,得到动态数据的辨识与恢复定理,给出信息系统动态稳定数据的几何辨识准则,并给出应用。动态数据距离使得信息系统动态数据辨识与恢复直观化,是研究信息系统数据变化的一个几何工具。
Applying the P-set, the concept of the distance between dynamic data and dynamic data is proposed. Dynamic data deviations include the deviation of in-dy- namic data, out-of-dy- namic data, and skewness of out-in-out dy- namics; the dy- namic data distance includes the distance between the inner-dy- namic data, the distance between the outer- dy- namic data and the inner- outer dy- namic data. By applying the deviation between dynamic data and dynamic data, the theorem of identification and restoration of dynamic data is obtained and the criterion of geometric identification of dynamic and stable data in information system is given. The dynamic data distance makes the dynamic identification and restoration of information system intuitive. It is a geometric tool to study the change of data in information system.