基于语义网的可视化知识服务平台用户需求研究

可视化技术不断发展,尤其是语义网的出现,为知识服务带来了空前的挑战。在语义网环境下,用户对知识服务的要求也出现了变化。从基于可视化的知识服务平台的用户需求心理的角度,分析了语义网环境下,用户对可视化知识服务平台的需求。     

用户接口自动生成工具研究

本文介绍一种用户接口自动生成工具的设计原理及实现方法，使用这种工具，可以自动生成适合用户需要的接口程序。     

基于Web的多渠道用户需求知识获取框架研究

用户需求知识是企业进行设计产品的依据、源头和关键.用户在产品网站内济览、查询及提出意见时,会有意无意地留下自己对某个产品的倾向和偏好.鉴于此,文中提出了基于Web的多渠道用户需求知识获取框架,从用户浏览方式、用户对产品的查询、站内BBS和用户投诉4种渠道中获取需求信息构建用户关注度矩阵和用户满意度矩阵,给出需求指标综合计算公式;并将从多渠道获取的用户关注度和用户满意度进行融合得到用户需求矩阵,该矩阵对新产品开发具有指导意义.     

基于Web的多渠道用户需求知识获取框架研究

用户需求知识是企业进行设计产品的依据、源头和关键。用户在产品网站内测览、查询及提出意见时,会有意无意地留下自己对某个产品的倾向和偏好。鉴于此,文中提出了基于Web的多渠道用户需求知识获取框架,从用户浏览方式、用户对产品的查询、站内BBS和用户投诉4种渠道中获取需求信息构建用户关注度矩阵和用户满意度矩阵,给出需求指标综合计算公式;并将从多渠道获取的用户关注度和用户满意度进行融合得到用户需求矩阵,该矩阵对新产品开发具有指导意义。     

基于知识依赖的决策树生成算法的研究

本文对利用数据挖掘技术解决大数据量的处理问题进行了较深入的研究,基于粗糙集理论提出了基于知识依赖的属性约简方法。该方法能够快速有效地找出真正影响决策的属 性。此外,又提出了以知识依赖为启发规则的决策树生成方法。该方法预测精度高,计算简便。     

一种基于界面自动生成技术的TMN配置管理设计

电信管理系统配置管理客户端的开发中,界面的代码占了很大的比重.而界面的开发工作通常都是繁琐和重复性的,造成了人力资源的浪费和工作效率的降低.为了解决这个问题,提出一种使用界面自动生成技术来减少界面开发工作量的方法,实现了界面设计和业务功能设计的分离.     

基于知识网最简约生成的面向组件软件开发系统

面向组件技术建立在对象技术之上,它是对象技术的进一步发展。目前软件开发系统的开发模式很多,研究的人也很多,本文主要讨论了在知识网基础之上,利用最简约生产的方法的面向组件技术的软件系统的开发。     

基于模糊知识网的推理机设计

为了简化知识网的重构运算,文中在原有知识网定义的基础上,结合用户对重构出的知识网的满意度和用户需求的多样性,以及模糊数学的相关知识,提出了一种模糊知识网的概念;然后根据模糊知识网与原有知识网的不同,在原有知识网混合运算的基础上重新定义模糊知识网的并、交、差运算,并给出模糊知识网混合运算的算法;最后在混合运算的基础上研究了模糊知识网推理机的设计,并给出了模糊知识网推理机的主要功能模块和设计流程图以及几个主要的界面以实现模糊知识网的自重构。     

Automatic construction and optimization of knowledge mesh for self-reconfiguration of knowledgeable manufacturing system

This paper deals with an approach to the automatic construction and optimization of the knowledge mesh (KM) based on the user’s function requirements. Once a KM multiple set operation expression is obtained, a new KM can be inferred from the expression by the developed KM-based inference engine and transformed into its corresponding KMS (knowledgeable manufacturing system) software automatically by the developed automatic program construction software so as to realize the self-reconfiguration of the KMS. Thus, the automatic construction and optimization of a KM multiple set operation expression is equivalent to the automatic construction and optimization of its corresponding KM and KMS software. To explore the automatic construction and optimization of the new KM by the user’s function requirements, an automatic construction procedure of a KM aiming at the user’s maximum function-satisfaction is proposed. Firstly, the fuzzy function-satisfaction degree relationships of the users’ requirements for the KM functions are defined, and so are the multiple fuzzy function-satisfaction degrees of the relationships. Secondly, operations (union, intersection and minus) on both fuzzy and multiple fuzzy function-satisfaction degrees are proposed and clarified, along with the proof that there exists a one-to-one mapping between the KM multiple set operation expression and the KM-function-satisfaction degree expression. Then, the optimization model of the KM multiple set operation expression is constructed and proved to be very NP-hard. And finally, the KM multiple set operation expression is optimized by the hybrid genetic-tabu algorithm, with the steps of the KM’s automatic construction presented in detail as well. Based upon the above, the KM’s automatic construction and optimization are illustrated by an actual KM example which corresponds to the management information system (MIS) software used in a vehicle body plant. The proposed approach proves to be very effective.     

装备技术需求多方案优选方法研究

针对单一优选准则带来的装备技术需求多方案优选结果的片面性,建立了由需求满足度、技术先进程度、技术重要度和技术成熟度等构成的指标体系,实现了装备技术需求的多视角综合优选,克服了单一准则下优选方案的偏差。最后通过示例验证了方法的可行性。     

基于耦合度的三个分布问题研究

本文主要讨论分布式应用系统中基于耦合度的用户分布、功能分布和数据分布问题。     

Measuring user satisfaction with knowledge management systems: scale development,purification, and initial test

The shift from a product-based to a knowledge-based economy has resulted in an increased demand for knowledge workers who are capable of higher-order thinking and reasoning to solve intricate problems in the workplace. This requires organizations to introduce knowledge management systems (KMS) for employees and has fueled predictions and speculations about what makes KMS effective. Unfortunately, there are very few empirical studies that examine this issue. Thus, this paper develops a validated instrument to measure user satisfaction as a surrogate measure of KMS effectiveness. Based on a survey of 147 respondents practicing mostly in four international semiconductor manufacturing companies in the Hsin-Chu Science-based Industrial Park in Taiwan suggests a 16-item instrument that measures four dimensions of user satisfaction with knowledge management systems (USKMS) is well-validated. The instrument and comprehensive model proposed in this paper would be valuable to researchers and practitioners interested in designing, implementing, and managing knowledge management systems.     

Development of user-satisfaction-based knowledge management performance measurement system with evidential reasoning approach

Confronting fierce global competition, organizations have implemented knowledge management to enhance competitive advantages. With increasing investments in resources for knowledge management implementation in many organizations, measuring knowledge management performance has become an important agenda among researchers and practitioners. However, the current knowledge management performance measurement methods cannot truly report the results of organizations’ knowledge management efforts. To address this problem, there is a need of a better approach for measuring knowledge management performance in organizations. This paper presents the authors’ recent research in using a K-user satisfaction based approach and evidential reasoning methodology to develop a user-satisfaction-based knowledge management performance measurement system for organizations to identify strengths and weaknesses, as well as enhance continuous learning. A case study in applying the developed system and methodology in primary school education has been conducted to demonstrate its effectiveness.     

Developing a navigation aid for the frail and visually impaired

This paper describes the development of a new navigational aid for the frail, elderly, and visually impaired person. The users were involved both in the user requirements study and in the evaluation of different prototypes. The results show that the users were able to provide information on their current aid, the use situation, and their preference regarding different solutions, but they had difficulties to provide the detailed answers on technical solutions required by the technical development team. Further, prototype evaluations with users enabled the technical team to understand the users and their use situation.     

基于社交网络用户信任度的混合推荐算法研究

为了解决当前社交网络中基于用户信任的Web服务推荐算法存在的覆盖率不足的问题,整合了当前有关直接信任、间接信任及群体信任度的研究思路,对相关的信任度计算方式进行了扩展研究。在此基础上,提出了一种新的混合信任度算法。 实验结果表明,在召回率、用户信任度和用户争议度等指标上该混合推荐算法优于现有算法ModelTrust,证明了该算法具有覆盖率较高的特点,能解决由单一信任度算法数据稀疏性造成推荐结果不佳的问题。     

量子遗传算法对组织氛围的聚类分析

采用心理量表方法对 236 名企业员工的组织氛围和满意度进行了测量,针对 K-means 方法的缺点,采用量子遗传算法对员工的组织氛围数据进行聚类。运用 10 位量子比特位对聚类中心的每一维数值进行编码,同时采用旋转门方式对染色体进行迭代演化。对聚类所得 3 类员工的组织氛围和满意度分数进行统计检验,结果表明,两者都存在显著性差异,说明运用量子遗传算法进行聚类是可行的,聚类的结果对改进企业的管理水平具有理论参考价值。