信息过滤的模糊聚类模型

针对Internet信息过滤问题,运用模糊聚类方法建立了一个用于信息过滤的聚类模型。该模型不仅考虑了文档间的语义联系,而且,又对文档集进行了进一步的分类,增强了类内的耦和性,减少了类间的关联性。最后,给出了一个模糊聚类算法。     

基于Internet的动态模糊主动专家数据库系统的研究

基于Internet,针对系统应用的主动性和动态模糊性特点,将动态模糊逻辑技术和专家系统技术引入到分布式主动数据库中,提出了一种基于Internet的动态模糊主动专家数据库系统模型,并对其系统结构及关键技术做了深入的研究.最后,将该模型应用于银行的客户信用评估系统中,其运行结果证明了该模型的有效性和科学性.     

基于SGML/XML的Internet信息发布

随着Internet技术的发展与应用的深入,特别是电子商务等深层次应用的迅速崛起,结构化地组织Internet上的信息,保持信息本身的结构与语义变得越来越重要.文章首先给出一种基于SGML／XML进行结构化信息组织与Internet信息发布的模型,并重点讨论了实现该模型的两个关键问题：SGML／XML信息的获取与信息的Internet发布.文中讨论的模型与关键问题对基于XML的应用系统具有很好的参考价值.     

一种基于Web的Internet可视化信息自动采集模型

介绍一种基于Web的Internet可视化信息自动采集的系统模型，该模型能够对Internet可视化信息进行自动采集，分类，并对信息搜索和浏览提供必要的支持，该模型能从Internet上自动采集可视化信息，对图像和视频的主题进行自动分类，为显示查询结果的需要提供接口压缩图像和视频，并支持标准关系数据库查询，给出了模型结构，重点分析讨论了自动采集模型的原理。     

基于Internet的嵌入式模糊控制技术

介绍了嵌入式Internet的概念。同时将模糊控制器引入Internet,给出了利和模糊化Java Applet实现模糊控制系统网络化的方案。最后简介了利用模糊开发软件工具包FIDE实现模糊化嵌入式Internet应用的一个实例。     

因特网文本智能挖掘的模糊聚类算法研究

随着Internet的深入发展及普及应用,网络中可获取的大部分文本信息由来自各种数据源的文档组成.由于电子形式的文本信息飞速增涨,可以获知的文本信息已成海量之势,文本挖掘已经成为信息领域的研究热点,快速得到目标文本成为互联网发展的瓶颈.在动态聚类方法和基于特征属性分类法的基础上提出基于混合模糊聚类理论的文本数据分类系统新模型,在模型基础上探究了一种模糊聚类仿真算法,通过实验验证算法能有效提高文本分类效率及文本分类准确率,从而在实际网络文本挖掘应用中快速得到目标文本,实现因特网文本智能挖掘.     

基于多Agent结构的地理信息服务研究

信息技术的迅速发展和对全球分布的地理信息的需求使在Internet上的地理信息服务成为可能。本文在分析了地理信息服务之后,提出了一个基于多Agent结构的地理信息服务模型,最后结合GML讨论了系统的构建问题。该模型可以为Internet上分布式的地理信息服务提供灵活、可变的体系结构。     

探讨Internet网络安全的信息过滤模型

近年来,人们对于网络的安全性越来越重视。在涉及Internet的网络安全当中,主要都是针对信息而言的,信息的安全与否直接影响网络的安全。因此,各种信息过滤技术以及信息过滤系统模型随之产生。然而,当前常用的信息过滤模型都或多或少的存在一定缺陷,这为信息的安全埋下了隐患。基于此点,本文就Internet网络安全的信息过滤模型展开探讨。     

基于模糊相关的Web文档分类方法

面对Internet上不断增长的巨大信息量,如何使用户获得有趣的和有用的信息已成为信息检索急需解决的问题。由于Web文档往往具有不确定的特征,使得利用模糊集合理论对信息检索过程的不确定性建立模型成为可能。文章提出了一种基于模糊相关技术的Web文档分类方法,实验结果表明,该方法比基于向量空间模型的Web分类方法有较高的分类精度。     

Internet个性化信息服务研究综述

Internet个性化信息服务是在Internet“信息爆炸”的背景下“信息过载”和“信息迷航”问题的解决方案,Internet个性化信息服务将是未来信息服务的主流模式。该文对其研究的基本问题和所用的关键技术进行了详细的分析,并对其发展前景进行了展望。     

互联网中的模糊滑模拥塞控制策略

针对互联网中的拥塞控制问题, 基于滑模控制理论及T-S（Takagi-Sugeno）模糊模型,提出了一种模糊滑模拥塞控制策略。考虑到互联网中存在的不确定和时变时滞因素,采用T-S模糊模型对网络系统进行了建模。利用线性矩阵不等式设计了一个渐近稳定的滑模面,有效地补偿了不确定及时滞因素的影响。基于趋近律的方法设计了控制器,有效地抑制了路由器中队列长度的振荡。多种情况下的仿真对比表明,所提出的控制策略具有更好的稳定性和鲁棒性。     

煤矿物联网应用水平评估

依据物联网标准体系,构建了煤矿物联网应用水平的评价指标体系,利用模糊综合评价方法给出了煤矿物联网应用水准指标体系评价模型;以某煤矿物联网建设情况为例,对评价模型进行了验证分析。分析结果表明,该评价模型能客观地反映出煤矿物联网建设的现实情况和不足之处,可为煤炭企业制定物联网发展战略提供参考。     

Fuzzy XML data modeling with the UML and relational data models

Information imprecision and uncertainty exist in many real-world applications and for this reason fuzzy data modeling has been extensively investigated in various data models. Currently, huge amounts of electronic data are available on the Internet, and XML has been the de facto standard of information representation and exchange over the Web. This paper focuses on fuzzy XML data modeling, which is mainly involved in the representation model of the fuzzy XML, its conceptual design, and its storage in databases. Based on “possibility distribution theory”, we developed this fuzzy XML data model. We developed this fuzzy UML data model to design the fuzzy XML model conceptually. We investigated the formal conversions from the fuzzy UML model to the fuzzy XML model and the formal mapping from the fuzzy XML model to the fuzzy relational databases.     

A model for the selection of internet service providers

A fuzzy model for the selection of Internet service providers is presented in the article. Indicators characterizing the providers are represented by linguistic variables with triangular fuzzy numbers. Entropy measures are used as a metric for comparing different alternatives.     

基于Internet的故障诊断系统的模糊评判

该文利用模糊综合评判法的原理,对复杂机械设备的远程故障诊断问题进行了探讨,建立了基于Internet的故障诊断系统的多层次模糊评判模型,对远程故障诊断系统与本地故障诊断系统的性能进行了对比,通过定量分析得到远程系统的性能优于本地系统,从而说明开展远程故障诊断应用的意义。     

Design and performance evaluation of a fuzzy based traffic conditioner for differentiated services

The current Internet can only provide the best-effort services. By growing the Internet and its applications, new services with different requirements are developed. The differentiated services (Diffserv) [S. Blake, M. Carlson, E. Davies, Z. Wang, W. Weiss, An Architecture for Differentiated Services, IETF RFC 2475, 1998; K. Nichols, V. Jacobson, L. Zhang, A Two-bit Differentiated Services Architecture for the Internet, IETF RFC 2638, July 1999; T. Li, Y. Rekhter, A Provider Architecture for Differentiated Services and Traffic Engineering (PASTE), IETF RFC 2430, October 1998] is a scalable model for providing end-to-end quality of services. A Diffserv router consists of different components including classifier, meter, marker, dropper, shaper and scheduler. In this paper, we use the benefits of the fuzzy logic controller to design a fuzzy based traffic conditioner for Internet differentiated services. Our proposed model consists of three major parts: a fuzzy meter/marker (FM), a fuzzy active queue management (FAQM) algorithm and a fuzzy scheduler (FS). The proposed FM used to measure and mark the input traffic is based on the single rate three colors meter (srTCM) mechanism [J. Heinane, et al., A Single Rate Three Color Marker, RFC 2697, September 1999]. The FM meters an IP packet stream and marks its packets GREEN, YELLOW, or RED. The proposed FAQM is a fuzzy implementation of the well-known BLUE active queue management (AQM) algorithm [W. Feng, D. Kandlur, D. Saha, K. Shin, BLUE: A New Class of Active Queue Management Algorithms U. Michigan CSE-TR-387-99, April 1999]. To achieve a good throughput and reasonable packet loss ratio, the proposed FAQM mechanism employs a fuzzy logic controller. The third part of the proposed fuzzy traffic conditioner is FS. It is based on the traditional weighted fair queue (WFQ) mechanism [A. Demers, S. Keshav, S. Shenker, Analysis and simulation of a fair queueing algorithm, in: SIGCOMM Symposium on Communications Architectures and Protocols, Austin, Texas, September 1989, pp. 1–12] that tunes the weight of each queue by a fuzzy logic controller. To evaluate the performance of the proposed model, we developed a software in C++ environment to simulate it. Different network topologies with different traffic parameters were performed. The simulation results easily helped us to judge the merit of the proposed FM, FAQM and FS because of their remarkable performance over the traditional non-fuzzy mechanisms.     

Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market

The multinomial logit (MNL) model is the most widely used discrete choice model. It assumes theindependence of irrelevant alternatives (IIA) and the independence of attributes. The nested logit (NL) model has proven to be the most successful in solving IIA problem. However, the attributes of the NL model remain independent while attributes of social problems are often interdependent. Some researchers suggest using a fuzzy integral, and applying the idea of a fuzzy measure to solve the non-additive problem. Yet this method is unsuitable for stated preference data, which is based on hypothetical choice data. Factor analysis, the Choquet integral, and the NL model combine in this study using the partitioned fuzzy integral nested logit (PFINL) model as an innovative way to solve these problems. Taiwan's Internet Telephony market illustrates this model, and shows that the PFINL model is superior to the MNL and the NL model.     

Optimal location of internet data centers taking into account the risks

In this paper, a model for location of Internet data centers taking into account the risks due to natural, political, economic, and other factors is proposed. The risks are presented using fuzzy linguistic variables. At the end of the article, a numerical example is given.