基于UML的环境空间决策支持系统的分析与设计

统一建模语言(UML)是一种面向对象,定义明确的可视化系统建模语言,在地理信息系统工程的分析和设计中已逐渐被采用。以福建省海岸带环境调控空间决策支持系统为例,简述了系统建设背景和基本功能需求,研究了统一建模语言(UML)在空间决策支持系统分析和设计中的应用。重点提出了以系统需求用例图、活动图,类图和序列图为核心的UML辅助空间数据建模的基本原理和方法,并结合具体示例给出了基本操作流程过程和软件文档制品,最后给出了系统实现结果的典型用户界面。     

核电站计算机应急辅助决策系统设计

对核电站计算机应急辅助决策系统的使用环境、目标以及功能进行了分析,并给出了采用C/S和B/S混合结构的设计方案.系统包含数据采集处理、辅助判断、应急响应支持、应急演习四大功能,该系统对核电站应急事故处理有重大意义.     

税务决策支持系统设计

税收信息化经过多年发展积累了大量数据,利用数据仓库技术建立的税务决策支持系统可以充分利用这些数据.介绍了税务决策系统的设计过程,业务上包括税务报表查询、统计分析监控、税收分析与预测3大部分,技术架构可划分为3个层次:数据获取、数据管理、数据使用.数据仓库中的数据则按照星型模型组织,数据具有不同的粒度.     

An organizational approach to designing an intelligent knowledge-based system: Application to the decision-making process in design projects

Knowledge-based engineering (KBE) approaches are designed to reduce the time and cost of product development by capturing, retaining and re-using design knowledge. They currently focus on repetitive design tasks where knowledge is considered as a static resource. However, knowledge is intrinsically linked to the organizations and people who use it. Thus, to be efficient, these knowledge-based systems (KBS) have to be able to take into account all the mechanisms of knowledge creation, sharing and evaluation made by the users. Using the agent paradigm, new knowledge-based systems can be designed in order to address this research issue. Indeed, the agents have social abilities and are able to achieve very complex tasks. These two features are necessary for making a knowledge-based system efficient. However, there still exists today a lack of approaches and methodologies to help design such applications. This paper presents DOCK, a methodology to design an intelligent knowledge-based system that aims to support the knowledge management process. In order to take into account all the mechanisms of knowledge generation, sharing and re-use, DOCK is based on the hypothesis that efficient modelling of human organizations, by highlighting their roles, collaborations, skills, goals and knowledge, will help the KBS designer to specify an adapted knowledge-based system. Finally, DOCK is implemented to design the SMA SNOTRA that is dedicated to supporting a decision-making process for design projects.     

Multi-agent systems support for Community-Based Learning

Electronic distributed learning that overlooks the physical and geographic status of learners has become a reality. Moreover, its quality has been considerably improved by utilizing recent advances in web-based technology. Various electronic learning support systems such as Internet-based tutorials and Virtual Universities have appeared in different forms and reflect advances in technology. However, there remains a huge barrier to support the shareable and collaborative learning available through virtual communities. Our solution to these problems was to develop an educational middleware, called the Community-Based Learning (CoBL) framework whose goal is to: (a) adapt to the diverse requirements of learners; (b) support shareable and collaborative learning; and (c) be capable of facilitating distributed learning over the Internet. The CoBL framework is based on: (1) agents to manage individual learners and communities of learners; (2) a shared data model for integrating heterogeneous communities; and (3) a component-oriented development approach. We have implemented the CoBL prototype system and used it for community-based learning.     

Multiple views system to support awareness for cooperative design

It is acknowledged that multiple views technology improves designer’s work efficiency by filtering redundant information. However, the increased need of cooperative activities in product design process requires views incorporating Cooperative awareness information (CAI), content of which should be lean for understanding and sortable according to importance. To achieve this target, this paper proposes an Object-based cooperative awareness model (OBCWM) and corresponding multiple views system. Requirements of CAI in product design are firstly analyzed. Then OBCWM is proposed, which consists of a CPM (Core product model) based concept framework. By use of CPM, an algorithm to calculate awareness intensity is developed based on object-oriented method. To support the mechanism of OBCWM, a multiple views system is then designed with “flexible view”, content of which is adjustable according to awareness intensity between CAI objects. After introduction to the system, application on a case is presented, followed by the evaluation of this system.     

液压支架选型设计系统

为了方便煤矿设计人员对液压支架进行选型设计,采用C#语言、ASP.NET技术、Visual Studio2013系统开发工具及SQL Server 2008数据库,开发了基于B/S模式的液压支架选型设计系统,介绍了系统总体设计及功能实现方案。采用该系统,用户输入设计参数即可得出选型结果,并能够对选型结果进行择优。以某煤矿液压支架选型设计实例验证了该系统的可行性。     

Trust-based consensus reaching process for product design decision-making with heterogeneous information

Pursuing a consensual result is vital for selecting optimum product design schemes as it helps eliminate preference conflicts in product design decision-making (PDDM). As a dynamic and iterative activity, the consensus reaching process (CRP) of PDDM always involves heterogeneous, vague, and inconsistent information, which makes it challenging to adjust decision-makers’ judgement to achieve an acceptable consensus level. To address this issue, triangular fuzzy numbers were introduced to depict decision-makers’ heterogeneous judgement. The indicator weights were determined by integrating the fixed weight obtained from the interval analytic hierarchy process (IAHP) and the variable weight acquired using the maximizing deviation method. Decision-makers’ weights were identified through a combination of the uncertainty degree measured by fuzzy entropy and the consistency degree solved by a distance minimizing model of the PDDM matrix. A dynamic CRP for PDDM was proposed by adjusting decision-makers’ judgement based on their trust relationships and updating the PDDM matrix in an evolutionary manner. A case study is conducted to verify the feasibility and effectiveness of the proposed method.     

Integrated design support system

The integrated design support system (IDS) is a concept for capturing the critical technical engineering information necessary to perform the functions of maintenance, modification, repair, and reprocurement of Air Force weapon systems. The program will first construct an architecture to define the required information. Next, IDS will construct prototype software to acquire, store, distribute, and perform configuration management on the data. The program will conclude with software simulation of the full-scale IDS system operating in a production environment to determine performance characteristics together with development and operatonal costs for the system.     

Intelligent system architecture for process operation support

This paper presents a generic intelligent system platform, namely INTEMOR (INTElligent Multimedia system for On-line Real-time application), for process operation support. INTEMOR is developed by combining artificial intelligence, computer system and information technology into a unified environment. It integrates various function modules to perform operation support tasks, including communication gateway, data processing and analysis, on-line process monitoring and diagnosis, on-line operation manual, equipment maintenance assistance, reasoning system, knowledge-base creator and multimedia interface. The industrial applications of INTEMOR on a boiler system and a chemical pulping process are illustrated.     

Linking analytic hierarchy process and social choice methods to support group decision-making in water management

The social choice (SC) theory is in close relation with multicriteria decision-making (MCDM), especially in group decision contexts. SC theory includes various voting systems while MCDM is represented by utility and outranking methods; among utility models, the analytic hierarchy process (AHP) is probably the most popular in group decision support. In this paper, we investigate two possible contexts in modeling decentralized decision problems in water management. The first is based on AHP only and two group aggregation techniques. The second one assumes the AHP application in subgroups, while at a group level, aggregation is performed by the SC voting procedures. Comparative analyses show good agreement of the results when two methodologies are applied as the decision support to the water committee of the San Francisco river basin in Brazil. The second methodology (called AHP + SC) is considered more promising for implementation in real-decision situations in water management.     

An application of Hebbian learning in the design process decision-making

The design of a product involves a process in which several different aspects are combined in order to obtain a final, suitable and optimum product. Designers must interact with different stakeholder groups, make decisions and complete the design process. In order to achieve this, different evaluation techniques are used. Depending on the chosen technique and on the field and environment in which each member of the design team was trained, each one of the members will consider one or several aspects of the design project but from a point of view or perspective in line with his/her particular professional background. As a result, all decisions which will affect the design process of the product are focused on these aspects and individual viewpoints. In this paper, an evaluation technique is proposed which allows one to take suitable decisions, taking into account all the factors and perspectives which affect the design process in the best way, searching for a balance among them in relation to the aims and interests of a specific design project. The development of this evaluation technique was inspired by the way in which neurons interact with one another in the brain and it has been based on the Hebbian learning rule for neural networks. Lastly, a real application of the proposed technique is presented to demonstrate its applicability in evaluating industrial designs.     

Object-oriented design support system for machine tools

This paper deals with an object-oriented intelligent design support system which is intended to assist in the basic design of machine tools, in particular machining centres. The machine tools design process is analysed through interviews with experienced designers, and an object-oriented model is established to represent the design process. Software modules named design objects are proposed, which are basic components for the implementation of an intelligent design support system for machine tools. A prototype of the design support system for machining centres is developed based on the design objects, and some case studies are carried out to verify the effectiveness of the methods proposed.     

Computer support for mechatronic control system design

This paper discusses the demands for proper tools for computer aided control system design of mechatronic systems and identifies a number of tasks in this design process. Real mechatronic design, involving input from specialists from varying disciplines, requires that the system can be represented in multiple views. Several tools are already available but there are still substantial shortcomings. The paper gives indications about the developments needed to come to better design tools in the future. A specific example is worked out in more detail, i.e., automated performance assessment of mechatronic motion systems during the conceptual design stage.     

A decision support system for cellular manufacturing system design

With the growth of competitive pressure in the global markets, there has been an increase in demand in industry for cellular manufacturing systems (CMSs) in order to improve productivity and process flexibility. The design of CMSs for industrial applications is a complex and knowledge intensive process as it involves the consideration of many factors including production data and process characteristics. This paper describes the development and implementation of a decision support system for the feasibility and conceptual design of CMSs. The system is based on the knowledge-based system approach, and is able to make recommendations of system feasibility, cell formation techniques and cell types. A case study is also presented to demonstrate the capability of the decision support system.     

Utilizing learning process to improve recommender system for group learning support

With the rapid increasing of learning materials and learning objects in e-learning, the need for recommender system has also become more and more imperative. Although, the traditional recommendation system has achieved great success in many domains, it is not suitable to support e-learning recommender system because the approach in e-learning is hybrid and it is obtained mainly by two mechanisms: the learners’ learning processes and the analysis of social interaction. Therefore, this study proposes a flexible recommendation approach to satisfy this demand. The recommendation is designed based on a multidimensional recommendation model. Furthermore, we use Markov Chain Model to divide the group learners into advanced learners and beginner learners by using the learners’ learning activities and learning processes so that we can correctly estimate the rating which also include learners’ social interaction. The experimental result shows that the proposed system can give a more satisfying and qualified recommendation.     

Human system interface concerns in support system design

Current research needs and future prospects in the area of support to man-machine system analysis, design, and evaluation are described. We are especially concerned with system design requirements to enable efficient and effective human system interaction. Prospects for enhanced support to the human operator, in problem solving cognitive tasks that involve planning and design as well as physiological tasks that involve controlling, through use of knowledge based systems and decision support systems, are discussed.     

Computer support for strategic organizational decision-making

While information systems continue to be promoted within organizations as tools to support strategic decision-making, there is growing concern over the ability of such systems to model the social and political complexity of the situations to which they are being applied. This paper examines the nature of organizational decision-making and the use of computer-based systems to support this activity. The debate queries the extent to which such artifacts should be allowed to become enmeshed and embedded within the strategic decision-making activities of organizations which operate within increasingly complex environments.