面向对象的概念建模

概念建模的目的是建立开发者与用户之间通信所需的概念知识.概念模型的图形表示往往是对现实世界的最高层抽象,它使开发者与用户通信更方便,使模型更容易理解.本文给出一种面向对象概念建模方法,它将图形表示、E—r方法、关系演算、时态逻辑溶为一体,支持对象结构、行为和对象演变建模的一体化和封装

Multiattribute Decisi on Making Method Using Intuitionistic Fuzzy Sets

中文摘要: 提出了一种基于直觉模糊集的多目标多属性决策问题的新记分函数,该记分函数从距离的 角度选择最优方案,使最优方案接近最优理想方案,同时远离负理想方案.并对已有的基于直觉模 糊集的多目标模糊决策方法进行分析与联系,通过实例阐明了本文提出的新记分函数的有效性.英文摘要：A new score functi on for handlingmultiattribute fuzzy decisi onmaking problems based on intuitionistic fuzzy sets is presented in this paper . This score function based on distance is given to select the best one, which is close to the ideal alternative and far away from the negative . Moreover, presentmethods connected with intuitionistic fuzzy sets are analyzed . It is proved by examples that this new score function is efficient .基金项目:国家自然科学基金资助项目 (项目编号: 70772094)

基于语义分析和外延匹配的文档分类方法

文档分类中,经典的VSM存在着两方面的缺陷:语义问题的忽略和“假相关”问题的显露。本文利用自然语言语义分析的手段和文档外延匹配的举措一定程度上解决了这两个问题,从而有利于对文档分类精度的提高

基于粗糙集和信息熵的属性约简算法

粗糙集具有很强的定性分析能力,通过不可分辨关系找出内在规律性,很适合做属性的约简。可辨识矩阵为属性约简提供了一个浓缩了的属性区分信息,可以方便求到核属性,但对于矩阵中除核属性之外的其他属性组合的研究却不容易。熵是概率统计方法中一个概念,概率性的知识提供了一种度量。本文就是基于粗糙集的理论,运用可辨识矩阵,结合信息熵思想,提出一种属性约简算法,保证约简效果与速度

Fast algorithm for mining association rules based on relationship matrix

首先对关联规则挖掘问题进行了简单的回顾,然后应用关系理论思想,引入了项目可辨识向量及其“与”运算,设计了一种快速挖掘算法SLIG,将频繁项目集的产生过程转化为项目集的关系矩阵中向量运算过程。算法只需扫描一遍数据库,克服了Apriori及其相关算法产生大量候选集和需多次扫描数据库的缺点。实验证明,与Apriori算法相比,SLIG算法提高了挖掘效率。After the introduction of famous Apriori algorithms, an efficient algorithm SLIG(Single-level Large Itemsets Generation) learning from relation theory and "AND" operation on recognizable vectors was proposed. SLIG transformed the production process of frequent itemset to the vector calculation process in relationship matrix and only needed to scan the database once. Empirical evaluation and experiments show that SLIG is more efficient than the algorithms that need to pass the large database many times

C-MEANS CLUSTERING ALGORITHM BASED ON INTERVAL-VALUED INTUITIONISTIC FUZZY SETS

针对区间直觉模糊集(IVIfS)的聚类问题,提出了基于IVIfS的C均值聚类算法。算法首先应用IVIfS的欧氏距离,构造了聚类的目标函数;然后根据拉格朗日乘数法推导出聚类的迭代公式,得到IVIfS聚类算法;此外,还提出一种IVIfS聚类的有效性函数,并将此函数和聚类结合,给出可以确定最佳聚类类别数的聚类流程;最后通过实验验证了该算法不仅得到了最佳聚类类别数,同时还提高了聚类的准确率。Aiming at the clustering problems of IVIFS,the C-means clustering algorithm based on IVIFS is proposed.By means of the Euclidian distance,the objective function of clustering is constructed.Next the iterative formula is deduced according to Lagrange multiplier method,then IVIFS clustering algorithm is obtained.Moreover an IVIFS clustering validity function is defined to confirm the best clustering class number's clustering procedure.Finally,experiment results show that the method can not only acquire the best class number,but also improve clustering accuracy.福建省自然科学基金(2010J01362);厦门大学国家“211”(三期):立体通信和信息集成智能技

基于直觉模糊集的群体决策中的逆判问题的研究

研究基于直觉模糊评判矩阵的群决策逆判问题。给出一种新的直觉模糊集上的相似度公式,并提出与决策群体意见整体相似性程度最高的“理想“直觉模糊评判矩阵的构造优化方法,利用该评价矩阵来评价专家的评判水平。最后,通过一个算例说明该方法的有效性

The Method of Fax Receiver's Name Recognition Based on SVM

在字符特征提取基础上,文章提出了应用支持向量机对传真收件人进行识别的方案,解决了传真收件人格式、表示方法多样性而导致的自动分发困难的问题。文中对四种常用的核函数分别进行了实验,选取了对传真收件人具有较高识别率的核函数,它有利于实现传真文件的自动分发。Based on characters feature extraction,the scheme of fax receiver's recognition is advanced in this paper by the use of SVM,which solves some problems such as the format of fax receiver and the difficulty of intelligent distribution caused by the diversity of expressing methods.Four common kernel functions are experimented respectively in this paper,and the kernel function that has better recognizing accuracy to fax receiver is selected,which can make for the realization of the intelligent distribution of fax

Research on the reconfigurable MIS based on pattern and component

当前企业面临着激烈的市场竞争和迅速变化的外部环境 ,为了保持企业的竞争力 ,各个企业不可避免的要进行企业业务过程的重组 ,因此如何开发出一个可快速重构的 ,柔性的 MIS使其能够快速响应并有效地支持各种变化 ,保护企业在MIS的投资是一个重要课题。文章对 MIS不易重构的原因进行了分析 ,提出了利用模式和组件技术结合来建设可重构 MIS的开发模式 ,并给出了一个基于模式和组件技术的可重构 MIS的架构Nowadays enterprises are facing fierce market competition and a rapidly changing environment,and in order to maintain their competitive power, the enterprises have to carry out the business process reconfiguration (BPR). Then it is very important to develop a reconfigurable and flexible management information system(MIS) so that the enterprise's investment in MIS can be retained. The causes of the difficulties in MIS reconfiguration are analyzed. A developing model of the reconfigurable MIS is presented based on the combination of the pattern and component techniques and a framework is also given

Application of the object-oriented framework in the development of information system

通过数据表维护框架的设计讨论了面向对象框架在信息系统开发中的应用 ,给出了基于 Proxy模式 (代理模式 )、U ML 类图及序列图的数据表维护框架的详细设计过程。数据表维护框架对应一个最小的语义单位 ,可以应用于不同行业的信息系统开发The design of datasheet maintenance framework is introduced,and the development of information system based on the object oriented framework is discussed. The whole designing process of datasheet maintenance framework based on Proxy pattern, UML class diagram, and sequence diagram is given. The datasheet maintenance framework corresponds with the least unit of semantic meaning,so it is applicable to the information system development in different fields