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Based on rough set theory, research in this paper mainly focuses on mining rules from decision system.Based on the research of the basic concepts of rough set, we deeply analysis and discuss the approximation set algorithm, equivalence class algorithm, core algorithm, attribute reduction algorithm, rules extract algorithm etc.

本文首先对数据挖掘和知识发现作一概述，并论述了粗糙集理论的重要概念及其度量，基于这些概念和度量，具体分析了粗糙集理论的近似集算法、核算法、属性约简算法、规则提取算法，给出了它们的算法分析以及具体实现步骤。

Results from experiment indicate that decision rule optimization algorithm can realize the rough matching of user demand and service attribute, therefore avoiding the low efficiency of traditional exact matching in exactness and maturity, so this model broadens the application field of rough sets.

结果表明，通过决策规则优化能够实现用户需求和网络服务之间的模糊匹配，从而克服了传统精确匹配的查全率低、查准率差的缺点，扩展了粗糙集的应用领域。

To better tackle these problems, the design of the rough neural network based on variable precision rough set model, in which the majority inclusion relation is used, is studied.

为更好地解决这些问题，研究了基于"多数包含关系"的变精度粗糙集模型下的粗集神经网络设计。

In the meanwhile,we also establish the boundedness results of the higher order commutators generated by Hardy-Littlewood maximal operator with rough kernels and corresponding fractional maximal operator with rough kernels on MK_~.

同时还建立了Hardy-Littlewood极大粗糙算子和相应的分数次极大粗糙算子所生成的高阶交换子在MK_~上的有界性。

In view of the existing problems of traditional resource allocating networks, a design method for RAN based on rough set and orthogonal least square was proposed. Firstly, rough set was applied to intelligent data analysis for extracting typical characteristics from the training samples, and then OLS was used to select best centers as the hidden layer nodes.

针对常用的资源分配网络存在的问题，提出了一种基于粗糙集和正交最小二乘的资源分配网络设计方法，通过粗糙集数据分析与处理提取训练样本中典型的数据特征，再结合正交最小二乘学习算法选取对输出能量贡献最大的数据中心加入到隐层节点。

In view of the existing problems of traditional resource allocating networks, a design method for RAN based on rough set and orthogonal least square was proposed. Firstly, rough set was applied to intelligent data analysis for extracting typical characteristics from the training samples, and then OLS was used to select best renters as the hidden layer nodes.

针对常用的资源分配网络存在的问题，提出了一种基于粗糙集和正交最小二乘的资源分配网络设计方法，通过粗糙集数据分析与处理提取训练样本中典型的数据特征，再结合正交最小二乘学习算法选取对输出能量贡献最大的数据中心加入到隐层节点。

The calculation formulae for the transmission coefficient of the plane wave incidence to Gaussian rough surface of the layered medium was derived in combination with the power spectrum of Gaussian rough surface.

采用高斯粗糙面来模拟实际的分层介质粗糙面，结合高斯粗糙面的功率谱导出了平面波入射高斯分层介质粗糙面的透射系数计算公式。

Finally, base on research of genetic algorithm and rough sets, analysis of the existing primary algorithm of attribute reduction based on the traditonal genetic algorithm, an improved algorithm of rough set attribute reduction base on dependability and genetic algorithm is presented in this paper.

最后，对遗传算法和粗糙集理论研究的基础上，通过分析现有的约简算法，提出一种基于依赖度的属性约简改进算法，改进后的算法可以求取属性的一个约简。

The method connects the exponentially attenuating dividable auto-correlation function which is often used in the study of the lubricating behaviors of rough surfaces, to the theoretical model for studying the contact behaviors of rough surfaces and it will be a foundation for studying the lubrication and failure problems of sliding frictional pairs with anisotropic surfaces.

第三章对Onions-Archard的理论接触模型进行扩展，给出了计算各向异性粗糙表面接触性能的简便方法，并将粗糙表面润滑效应研究中常用的表征粗糙表面的指数衰减可分自相关函数和粗糙表面接触性能研究的理论模型联系了起来，为研究混合润滑工况下各向异性粗糙表面摩擦副的润滑和失效问题提供了基础。

It is stronger than pointwise rough and weaker than the strong rough in roughness.

它在粗性概念上强于点态粗而弱于强粗。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。