1) positive region
正域
1.
According to the decision attribute positive region size of condition attribute(s),the minimum fault feature subset is selected,and thus the neural network topology structure is determined.
采用粗糙集理论对原始故障诊断样本进行处理,并根据条件属性对决策属性的正域的大小来选择条件属性,提取出对诊断故障贡献最大的最小故障特征集,从而确定神经网络的拓扑结构;通过训练神经网络建立故障特征与故障之间的映射关系,实现故障的诊断。
2.
The method of attribute discretization in classification problems was investigated and probed in such a way that each step of discretization was assessed with classification accuracy and cardinality of positive region, and the assessed value was then feed back to the process of discretization until all attribute values were dealt wi.
研究和探讨了分类问题中的属性离散化方法,以分类精度和正域的势来评估每一步离散化过程,并将评估结果进行反馈,直至所有属性的属性值判断完为止。
3.
This paper introduces the rough recognition of knowledge and points out the quality of positive region and negative region.
介绍了知识的粗识别,指出了正域和负域的性质,给出了R-独立粗识别与多重共商粗识别的关系,在粗集中建立了专家会诊的理论依据。
2) Positive field
正域
1.
According to the principle of extenics, in order to establish the extension model of affair element for a complex system, the concept of multilayer multidimensional affair element extension set and its positive field, negative field and extension boundary were presented based on the concept of n-dimensional affair element extension set.
为了建立复杂系统的事元可拓模型,针对现实世界中具有多层结构、每个子层次结构又具有多个特征的复杂系统中各子系统的相互作用问题,从可拓学原理出发,在n维事元可拓集概念的基础上,提出了多层多维事元可拓集及其正域、负域、拓界的概念。
2.
In order to study contradictory problems of multilayer multidimensional complex systems, based on the concept of n-dimensional matter element extension set, the concepts of multilayer multidimensional matter element system extension set and its positive field, negative field, zero boundary and its extension field as well as its stable field were given.
为了研究多层多维复杂系统的矛盾问题,运用可拓学原理,在n维物元可拓集概念的基础上,提出了多层多维物元系统可拓集及其正域、负域、零界的概念,给出了多层多维物元系统可拓集的可拓域、稳定域的定义,讨论了多层多维物元系统可拓集的一些性质。
3.
A model of rough sets under intuitionistic fuzzy equivalant relations is systematically investigated,and the definitions of positive field,dependence degree and nondependence degree are given.
文中描述了直觉模糊等价关系下粗糙集的模型,并在此基础之上定义了正域、依赖度与非依赖度概念,然后详细分析了直觉模糊粗糙集属性约简算法。
3) Positive Domain
正域
1.
In this paper,we study positive domain,negative domain and zero-boundary of extensive set.
本文给出了可拓集合的正域、负域及零界的若干结
4) Region Justice
区域公正
5) Positive area and negative area method
正负域法
6) positive region
正区域
1.
Research and application of positive region properties in information systems;
信息系统中正区域性质的研究与应用
2.
Quick algorithm for computing core based on the positive region;
一个基于正区域的快速求核算法
3.
Some properties of positive regions in Rough Set;
Rough Set中正区域的若干性质
补充资料：正域
1.整治封疆。
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