粗糙集理论在智能数据分析中的应用

为了使信息技术得到很好的开发和利用,更好的解决实际应用中的问题,本文基于粗糙集理论智能数据分析方法的实例,通过对目标数据集中数据性质一系列的分析,结合试验的测试结果,可以发现该数据集中潜在的数据模式和内在联系,概括了数学在智能数据分析中应用的模型,促进了数学在信息技术中的应用探索.     

一种协调信息系统的快速求核算法

属性核的确定对于求属性约简具有重要的意义,利用协调信息系统中条件属性的划分相对于决策属性划分的概率分布为单点分布的性质,提出一种新的求核算法.采用多个UCI 数据集进行实验,结果表明该算法的效率高于基于辨识矩阵和基于信息熵的求核算法.     

不协调目标信息系统的知识获取

利用最大分布约简方法,找出不协调目标信息系统的最大分布约简,即重要的属性集,再根据规则归纳的7种形式和决策矩阵方法形成决策规则,并通过实验验证方法的有效性．     

On the development of the GRAPES——A new generation of the national operational NWP system in China

Numerical weather prediction （NWP） has become one of the most important means for weather forecasts in the world. It also mirrors a nation＇s comprehensive strength in meteorology. In 2000, China Meteorological Administration （CMA） established the National Innovative Base for Meteorological Numerical Prediction in the Chinese Academy of Meteorological Sciences （CAMS）, to work on developing a new generation of the national operational NWP system-Global/Regional Assimilation and PrEdiction System （GRAPES）, to enhance meteorological services in China in the new century. In recent years, the GRAPES has witnessed a fast development. The GRAPES has been set up as an integration of the model framework, data assimilation, regional and global NWP system, which can be commonly used for both operation and research. In this paper, a brief review is made for illustrating the GRAPES system, including the advanced designs of the GRAPES, its diverse applications in multi-fields, and efficiencies of the regional and global GRAPES in operational applications based on hindcast results.     

基于随机集的粗糙集模型（Ⅱ）

为了说明粗糙订理论在不完备信息系统中的应用,给出了基于随机集的粗糙集方法,提出了不完备信息系统的随机粗糙集的描述,讨论了不完备属性的随机集选择与系统的完备化的关系,并且介绍了一个求不完备属性的最大熵概率测度的算法。     

基于"智能嵌套式分析—研讨方法"的指挥信息系统作战需求分析

从指挥信息系统作战需求评估存在的薄弱环节入手,提出了一种分析方法,即"智能嵌套式分析研讨法",并就该方法的基本内涵及具体的运用进行了阐述.     

Data—mining massive real—time data in a power plant：challenges,problems and solutions

Nowadays,the scale of data nomally stored in a database collected by Data Acquisition system (DAS) or Distributed Control System(DCS) in a power plant is becoming larger and larger,However there are abundant valuable knowledge hidden behind them.It will be beyond people‘s capacity to analyze and understand these data stored in such a scale databased.Fortunately data-mining techniques are arising at the historic moment.In this paper,we explain the basic concept and general knowledge of data-mining;analyze the characteristics and research method of data-mining;give some typical applications of data-mining system based on power plant real-time database on intranet.     

On the development of the GRAPES――A new generation of the national operational NWP system in China

Numerical weather prediction (NWP) has become one of the most important means for weather fore-casts in the world. It also mirrors a nation's comprehensive strength in meteorology. In 2000, China Meteorological Administration (CMA) established the National Innovative Base for Meteorological Numerical Prediction in the Chinese Academy of Meteorological Sciences (CAMS), to work on developing a new generation of the national operational NWP system――Global/Regional Assimilation and PrEdiction System (GRAPES), to enhance meteorological services in China in the new century. In recent years, the GRAPES has witnessed a fast development. The GRAPES has been set up as an integration of the model framework, data assimilation, regional and global NWP system, which can be commonly used for both operation and research. In this paper, a brief review is made for illustrating the GRAPES system, including the advanced designs of the GRAPES, its diverse applications in multifields, and efficiencies of the regional and global GRAPES in operational applications based on hindcast results.     

Temporal and Spatial Conversion Analysis of Soil Erosion in the Three Gorges Region Based on RS and GIS Technique——A Case Study in Kaixian County

In this paper, Kaixian County, situated in the hinterland of the Three Gorges Reservoir Region, was selected for the case study. Factors of soil erosion were obtained based on the technique of remote sensing （RS） and geographic information system （GIS）. Combining with field survey, soil erosion data in the years of 1988, 2000 and 2004 which covered the period from the beginning of the Three Gorges Reservoir Project to nowadays were investigated through the judgment model established on soil erosion intensity. With the function of spatial analysis in the geographic information system, the analysis and appraisal of dynamic soil erosion changes were carried out, and the spatial characteristics of the vicious change were highlighted, and the main causes of the vicious change of soil erosion were explored.     

The Jurassic system of China—Main characteristics and recent advances in research

In China, the marine Jurassic is mainly distributed in the Qinghai-Tibetan Plateau, southwestern China and environs including southwestern Xinjiang and western Yunnan. Along the western palaeo-Pacific coast, marine Jurassic deposits, which usually intercalate with nonmarine strata, exist sporadically in eastern Heilongjiang, western Fujian, Hongkong, central Guangdong, western Jiangxi, eastern and southwestern Hunan Province, and probably also in western Taiwan. Nonmarine Jurassic strata are widely distributed in the whole of China except for southern Tibet area. They are commonly intercalated with volcanic rocks and contain volcanic materials in eastern China, and in southern Tibet. Marine strata yield various abundant fossils including ammonites, which were widespread in the Tethyan Realm even all over the world. Consequently, China is a critical region to attempt marine and non-marine Jurassic correlation. Through various investigations, both marine and non-marine Jurassic biozonations or assemblages have been established and by this the marine and non-marine Jurassic stratigraphic system and their correlation in China have been clarified.     

The Jurassic system of China—Main characteristics and recent advances in research

In China, the marine Jurassic is mainly distributed in the Qinghai-Tibetan Plateau, southwestern China and environs including southwestern Xinjiang and western Yunnan. Along the western palaeo-Pacific coast, marine Jurassic deposits, which usually intercalate with nonmarine strata, exist sporadically in eastern Heilongjiang, western Fujian, Hongkong, central Guangdong, western Jiangxi, eastern and southwestern Hunan Province, and probably also in western Taiwan. Nonmarine Jurassic strata are widely distributed in the whole of China except for southern Tibet area. They are commonly intercalated with volcanic rocks and contain volcanic materials in eastern China, and in southern Tibet. Marine strata yield various abundant fossils including ammonites, which were widespread in the Tethyan Realm even all over the world. Consequently, China is a critical region to attempt marine and non-marine Jurassic correlation. Through various investigations, both marine and non-marine Jurassic biozonations or assemblages have been established and by this the marine and non-marine Jurassic stratigraphic system and their correlation in China have been clarified.     

一种基于容差关系的辨识矩阵属性约简法

为有效处理灰色信息系统的属性约简问题．将粗糙集理论中有关属性约简的方法运用到灰色信息系统中。提出了一种基于容差关系的辨识矩阵属性约简法．这种方法并不对灰数进行白化．而是直接利用灰数的区间覆盖性定义一个基于贴近度的容差关系．并根据这个容差关系建立一个辨识矩阵对属性进行约简．避免了当灰数的取值分布信息缺乏时对灰数进行白化的主观性，是一种较为客观有效的灰色信息系统的属性约简法．     

不完备信息系统中数据推理的粗糙集方法

含空值决策表的分析一直是智能信息处理领域的一个难点，讨论基于赋值容差关系的数据不完全的信息系统中数据处理方法，并用实例说明不完全决策表中属性约简和决策规则的发现方法．     

基于大数据的智能制造岗位与技能需求研究

在不违反相关协议准则的情况下,通过爬虫技术获取智能制造岗位数据,并对其进行清洗与脱敏处理. 应用Jieba中文分词工具、K-means聚类算法与隐含狄利克雷分布（LDA）模型,将岗位名称分为6类,将技能集分为8类. 最后,构建需求矩阵并归一化处理,得到各技能集对岗位簇的重要程度,为专业选择、课程建设与从业人员发展提供参考.     

The Analects and the Moment in Peking——The influence of a Confucian education system on the personality formation,the way of thinking and the fate of the main characters

0.Preface China has long been boasting of its colorful and immense culture which comprises of Taoism,Confucianism and Buddhism.The interwoven influence among the religions on Chinese way of thinking,on the nation＇s behavior in their social life throughout the long history is beyond list.