查询词典 rough-wrought

Considering that the classical rough set theory can only process the discrete data, the degree of general importance of an attribute and attribute subsets was presented. And then a generalization rough set theory was proposed based on the general near neighborhood relation.

针对经典粗糙集理论仅能处理离散化数据的局限性，提出属性和属性子集的广义重要度的概念以及空间中的广义近邻关系，并提出了广义近邻关系下的广义粗糙集扩展模型。

Based on the conditional rough entropy theory, the definition of the conditional rough entropy of set is given and it can measure the uncertainty of set. The properties and the related theorems are given.

基于知识的条件粗糙熵理论，提出了集合的条件粗糙熵概念，用来刻画和度量集合的不确定性。

The theory significance of conditional rough entropy in decision information system is discussed. The conditional rough entropy measures the partial uncertainty in decision information systems.

讨论了集合的条件熵在目标信息系统中的理论意义，集合的条件熵刻画了目标信息系统的局部的不确定性。

At first, analyze the farmer's desire for the pension by Rough Set theory, construct the attribute reduction algorithm based on the conditional entropy for the computation and analysis of 8,410 questionnaire surveys data to make use of the advantage of rough set to deal with indefinite and incomplete data.

首先利用粗糙集理论理不确定和不完整数据的优势，基于改进的基于条件熵的属性约简理论对8410份问卷调查数据进行计算与分析，得出与农民参保意愿密切相关的几个因素，如年龄、性别、收入、行业等。

Rough ideals been first introduced by Kuroki N. Under the condition of the congruence relation, a rough set of a subsemigroup was proved to be its subsemigroup, while that of a leftideal was also proved to be its leftideal.

Kuroki N研究了半群中的粗理想，首次提出了粗子半群和粗理想的概念，证明了在同余关系下，半群的粗糙集是半群，左理想的粗糙集是左理想。

In this paper, granularity in rough set theory is used to describe rules based on the concept of rough degree. A tool for knowledge dependent relation diagram is put forward. Then dimensional knowledge granularity decision space and the same construction mapping decision space based on multi-decision sorts is established, and decision algorithm based on KDRD and decision space is introduced. Finally, through combining with the technique of fault diagnosis, it is proved that the approach is very appropriate to the intelligent decision system.

本文利用粗糙集理论中的粗度概念，在对获取规则进行扩展性的粒度描述的基础上，提出了一种工具―知识依赖关系图，构造了n维知识粒度决策空间以及基于多决策类的同构映射决策空间，建立了基于KDRD和决策空间的决策算法，并结合机械故障诊断说明了本方法非常适于故障诊断等通过结论获取原因的智能决策系统。

As the extension of rough set,variable precision rough set reflects the difference of degrees of overlap of kinds and sets.

而可变精度粗糙集作为对经典粗糙集理论的扩展，体现了等价类与集合的重叠度程度上的差别。

Then, we study Rough Set Theory approach to KDD, develop two algorithms for deriving Reduct and propose the integration of domain knowledge into Rough Set Theory to mining multiple-level rules.

本文在分析了传统的关联规则挖掘算法的基础上，给出了几个挖掘算法和一个递增修正算法；提出了模糊关联规则的概念及其挖掘算法；研究了结合背景知识的多层次关联规则的挖掘方法。

Chapter 2 is started from the basic theory of elastodynamics, the zero and the first order reflection and transmission coefficients of rough interface are derived in theory, and some numerical examples are given. Also dispersion characters of diffraction waves are discussed in the case of micro-rough interface in deep layers.

第二章从弹性动力学的基本理论出发，通过求解波动方程的定解问题，从理论上导出了地震波在粗糙界面上的零阶和一阶反射透射系数，并给出了数值算例；该章还讨论了深层微粗糙界面的绕射波的频散特征。

The preparation process of equisetum pratense total alkaloid includes the following steps: coarse pulverizing equisetum pratense to obtain rough powder, methyl alcohol percolation to obtain percolate, recovering methyl alcohol, concentrating, degreasing by means of petroleum ether, alkalifying concentrate, CHCl3 extracting, soda lye washing, neutral water washing, recovering CHCl3 to obtain rough alkaloid, adsorption by using silica gel column, eluting, recovering solvent so as to obtain refined EPR.

该发明是通过两个步骤来实现的：第一步，提取草问荆总碱，流程：草问荆粗粉――渗漉液――浓缩液(析胶、石油醚脱脂、氨水碱化)――碱化浓缩液(CHCl3萃取)――CHCl3层――CHCl3液(回收CHCl3)――粗生物碱――吸附硅胶柱――精致EPR。第二步，选择实验试剂、仪器、用小鼠作为实验对象，进行中枢神经系统实验，研究作用及作用机制。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。