基于Web的环境决策支持系统

本文基于浏览器/服务器模式开发了基于Web的环境决策支持系统(WEDSS),该系统由前台客户端、中间层及后台数据库等三层构成,其所有操作逻辑和事务逻辑由各层服务器完成。客户端只完成展示逻辑的功能,可大大提高系统的安全性、稳定性、可维护性和可扩展性,降低网络负载,提高与用户的交互能力,客户终端只要安装Web浏览器就能同时使用和参与环境系统的分析。该系统为城市规划者和政府管理人员更好地进行环境决策,解决当今人类居住、商务及工业发展三者之间的需求关系提供了一个有效途径,但由于环境问题和潜在解决方案流程在WEDSS系统中量化表述的难度,环境决策支持系统在推广方面还存在一定困难。     

Integrating Ethical Issues with Managerial Decision Making in the Classroom: Product Support Program Decisions

Literature on the teaching of ethics points to the need for realistic business problems in which students deal with ethical dilemmas. This paper presents the results of an experiment in which students take on the role of a Brand Manager who must decide on the level of support to allocate to four distinct business problems. The problems were presented as business problems including realistic profit and cost considerations, rather than being posed as "ethics cases". Students were able to select from a range of product support levels for each problem. The experiment isolated the factor effects which included level of realism, degree of competition, company situation in terms of fault and profit level, and problem type relative to damage and visibility. Company fault was the most important factor in determining the level of product support allocations. Allocations generally increased when there was an increase in profit level from low to medium. However, there was no additional increase in allocations above the medium profit level. The paper concludes with suggestions on how the results can be used as a springboard for discussion of the integration of ethical considerations in managerial decision making.     

Distributed Decision Making: A Proposal of Support Through Cooperative Systems

In this paper we show that decision making processes evolve to be more and more distributed and asynchronous. In order to support decision-makers who are not at the same place at the same time we define cooperation processes and a set of models models able to support designers of Cooperative decision support framework. These models come from a more general architecture of a Cooperative Knowledge Based System and are based on the knowledge acquisition field. A definition of cooperative decision support framework is also given.     

Transitioning From Dynamic Decision Support to Context-Aware Multi-Party Coordination: A Case for Emergency Response

In this paper, a general framework of context-aware multi-party coordination systems is proposed which extends the concept of dynamic decision making and functionality of dynamic decision making support systems in response to large-scale complex events. Using disaster responses as illustrative examples, event responders and decision makers face dynamic and complex problems with environmental, organizational, and activity-based issues. These issues are addressed by incorporating context-awareness, multi-party relationship management, and task-based coordination components into a framework for context-aware multi-party coordination systems.     

Enhancing National Security and Energy Security in the Post-911 Era: Group Decision Support for Strategic Policy Analysis under Conditions of Conflict

Energy source diversity has become a fundamental principle of both US energy security and national security. The decision of whether or not to approve a new power plant facility in the US involves complex group decision and negotiation processes. These contentious, value-laden, and multi-faceted self organizing processes involve many decision makers (broad constituencies) with conflicting priorities and dynamic preferences, high decision stakes, limited technical information (both in terms of quality and quantity), and difficult tradeoffs. As population pressures and energy demands continue to mount, advances in conflict resolution can help to improve power plant siting processes as well as US energy security and national security. Specifically, this paper uses advances in the Graph Model for Conflict Resolution and its associated decision support system (DSS) GMCR II to analyze strategic aspects of a multi-party energy dispute involving the co-management of a shared air shed in the Fraser Lowland Eco-Region based on Sumas Energy 2 (SE2), a contentious power plant project proposed for the US side of the international border between the city of Abbotsford, British Columbia and town of Sumas, Washington. GMCR II provides strategic insights for enhancing energy security, national security, and environmental risk management in the United States.     

Multiple Criteria Decision Making Models in Group Decision Support

Use of multiple criteria decision making (MCDM) models to aid the group decision process was tested. Two multiple criteria group decision support systems (MCGDSS) were studied, one using the AHP/Tchebycheff method of Iz and the other using Kersten's NEGO system. These systems were compared with a commercial GDSS, VisionQuest. VisionQuest does not include multiple criteria tools. To make the study comparable, VisionQuest was augmented with an ad hoc linear programming model that could generate solutions with specified characteristics requested by the using group. The three systems were compared on the dimensions of solution quality and decision support effectiveness.One of the hypotheses was that MCDM models would force participants to examine criteria, preferences, and aspirations more thoroughly, thus leading to decisions of better quality. Subjects using the MCGDSSs were expected to have higher mean quality and effectiveness values. However, the quality and effectiveness values of the VisionQuest/ad hoc system were found to be better on the dimension of effectiveness. Explanations for this result are included in the paper.Another hypothesis was that the AHP/Tchebycheff method of Iz, a value-oriented system, would yield more effective group support than the goal-oriented NEGO system. However, the NEGO system was found to yield solutions with better quality measures than the solutions obtained with the AHP/Tchebycheff system.Observation of the groups using the MCDM systems indicate that both the AHP/Tchebycheff and NEGO methods can be revised to enhance their effectiveness. The primary difficulty encountered with the AHP/Tchebycheff method was in the large number of pairwise comparisons required by AHP. The NEGO method can be enhanced by including specification of desired attainment levels in the first stage of the method. Both MCDM techniques have potential to benefit group decision support by giving using groups a means to design better solutions.     

Negotiation support using the Decision Support System GMCR

The Graph Model for Conflict Resolution constitutes a unique and flexible approach to the representation, analysis, and understanding of strategic conflict. This methodology, as implemented in the Decision Support System GMCR, constitutes a useful tool for negotiation support. Because GMCR includes efficient algorithms for calculating the stability of states, it encourages extensive comparisons of the consequences of different models of negotiators' decision making. GMCR also facilitates modifications to the way in which the conflict is represented, encouraging sensitivity and what-if analyses. The applicability of GMCR to negotiations is discussed in general, and in the context of a specific case study in environmental conflict resolution.     

From Distributed Supervisory Control to Enterprise Integration: Coordination Support for Operational Environments

Enterprise integration research focuses on the development and integration of models with the goal of analysis and improvement of an enterprise. Cognitive engineering research focuses on the problem solving requirements of humans in complex systems with the goal of designing more effective systems. This paper presents a particular approach to cognitive engineering - model-based intelligent support - and draws implications to the design and development of enterprise models and tools. Specifically, we discuss the realm of distributed supervisory control, propose a knowledge architecture and theory of human - machine interaction to support cooperative problem solving, and link this to current enterprise integration research. Examples are drawn from the spacecraft operations domain.     

Towards a Design Science of Ethical Decision Support

Ethical decision making involves complex emotional, cognitive, social, and philosophical challenges. Even if someone wants to be ethical, he or she may not have clearly articulated what that means, or know how to go about making a decision consistent with his or her values. Information technology may be able to help. A decision support system could offer individuals and groups some guidance, assisting them in making a decision that reflects their underlying values. The first step towards a design science of ethical decision support is to develop a theoretical base on which first-generation systems can be built. This paper brings together work in cognitive, social and moral psychology, information systems, and philosophy relevant to ethical decision making. Attributes of a system that would support ethical decision making are described.     

Decision Support Systems in Marketing

The practical application of decision support systems in marketing is still in its infancy, even though academic research has been recommending the use of such systems for years. This is largely due to the lack of a single, generally applicable decision support system. The specific requirements and problems of management are too dissimilar to make the development of one universal decision support system feasible. However, improved PC performance, enhanced market survey methods such as conjoint measurement, and further developed programming tools permit the varying requirements to be fairly flexibly met. The following article describes state-of-the-art know-how regarding the practical utilization of such systems, and addresses the preconditions for employing them. We have included many examples gathered from our own experience with numerous applications.     

Critical Situations for Decision Making: A Support Based on a Modelling Tool

This paper proposes to give a toll to help decision makers in critical situations. The principle of our research is based on a modelling approach for Cooperative Knowledge Based Systems. This approach is based on a Task/Method paradigm that we describe. We then propose to take into account collateral effects of tasks in order to support decision makers in a critical context. The proposed tool can then generate a degraded solution for which, collateral effects of previous tasks have been taken as new goals to reach. This study is possible thanks to the definition of several kinds of models: a Good Functioning Model and a Degraded Tasks Library.     

农产品物流安全应急决策支持系统研究

针对农产品物流安全的特点,围绕运输车辆、农产品腐烂等突发事故,集成Internet GIS、无线数据传输、无线通讯等信息化技术,构建了分布式应急决策支持系统（DDSS）。最后基于GPS／GIS／GSM（3G）技术,以车辆调度为例阐述了典型功能区的远程数据采集与决策管理实现。     

Challenging Group Support Systems Research: The Case for Strategic Decision Making

Strategic decision making (SDM) often occurs in groups that can benefit from the use of group support systems (GSS). However, no comprehensive review of this logical intersection has been made. We explore this intersection by viewing GSS research through the lens of SDM. First, SDM is broadly characterized and a model of GSS-mediated SDM is produced. Second, we review empirical GSS research linking these findings to the characteristics of SDM. We conclude that GSS research has not produced sufficient knowledge about group history, heterogeneity, member experience, task type, time pressure, technology or tool effects, and decision consensus for a favorable evaluation of SDM in GSS groups. SDM in GSS groups challenges researchers to study the effects of group processes such as those just mentioned in a context that involves ongoing and established groups, political activity, and a multiplicity of tasks.     

Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management

In this paper we describe a framework for multicriteria modeling and support of multi-stakeholder decision processes. We report on its testing in the development of a new water level management policy for a regulated lake-river system in Finland. In the framework the stakeholders are involved in the decision process from the problem structuring stage to the group consensus seeking stage followed by a stage of seeking public acceptance for the policy. The framework aims at creating an evolutionary learning process. In this paper we also focus on the use of a new interactive method for finding and identifying Pareto-optimal alternatives. Role playing experiments with students are used to test the practical applicability of a negotiation support procedure called the method of improving directions. We also describe the preference programming approach for the aggregation of the stakeholder opinions in the final evaluation of alternatives and consensus seeking.     

Combining GDSS and Gaming for Decision Support

Both gaming and group (decision) support systems (GDSS) are frequently used to support decision-making and policymaking in multi-actor settings. Despite the fact that there are a number of ways in which gaming and GDSS can be used in a complementary manner, there are only sporadic examples of their combined use. No systematic overview or framework exists in which GDSS are related to the functions of gaming or vice versa. In this article, we examine, why, how and for what purpose GDSS can be used to enrich and improve gaming simulation for decision support, and vice versa. In addition to a review of examples found in the literature, four games are discussed where we combined gaming and GDSS for complex decision making in a multi actor context: incodelta, a game about transportation corridors; infrastratego, a game about a liberalizing electricity market; containers a drift, a game about the planning of a container terminal, and; dubes, a game about sustainable urban renewal. Based on the literature and these four experiences, a classification is presented of (at least) four ways in which GDSS and gaming can be used in a complementary or even mutually corrective, manner: the use of GDSS for game design, for game evaluation, for game operation and the use of gaming for research, testing and training of GDSS.     

Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning

Cognitive maps have been used for analysing and aiding decision-making by investigating causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCMs can be used as tools for both static as well as dynamic analysis of scenarios evolving with time. An FCM represents an expert's domain knowledge in a form that lends itself to relatively easy integration into a collective knowledge base for a group involved in a decision process. The resulting group FCM has the potential to serve as a useful tool in a group decision support environment. An appropriate methodology for the development and analysis of group FCMs is required. A framework for such a methodology consisting of the development and application phases is presented.     

Contrasting Single User and Networked Group Decision Support Systems for Strategy Making

The use of computers to support group work – as a Group Decision Support System (GDSS) – on strategy making has grown over the last decade. Some GDSS's have a facilitator managing the computer with the group viewing a public screen displaying the debate, problem definition, and agreements of the group as it negotiates strategies. Others involve members of the group in the direct input of data that forms part of the problem definition – data that is then used by the group employing electronic voting and other organizing devices. This paper discusses a real case relating to an organization seeking to reach important agreements about its strategy. The case involved the top management team and over 50 senior managers. The organization used a facilitator driven GDSS for some of this work, and a networked system for other parts. Some of the meetings were video taped, some were observed through one-way mirrors, and all of the participants were interviewed about their reactions to the different systems. This paper reports on some of the significant contrasts between the two approaches.     

Monte Carlo Simulation Techniques in a Decision Support System for Group Decision Making

This paper describes a group decision support system based on an additive multi-attribute utility model for identifying a consensus strategy in group decision-making problems where several decision-makers or groups of decision-makers elicit their own preferences separately. On the one hand, the system provides procedures to quantify the DMs or group of DMs preferences separately. This involves assessing the DMs or group of DMs component utilities that represent their preferences regarding the respective possible attribute values and objective weights that represent the relative importance of the criteria. On the other hand, we propose Monte Carlo simulation techniques for identifying a consensus strategy. An iterative process will be carried out, where, after the simulations have been performed, the imprecise component utilities and weights corresponding to the different DMs or groups of DMs are tightened to output more meaningful information in the next simulations to achieve a consensus strategy. Finally, an application to the evaluation of remedial strategies for restoring contaminated aquatic ecosystems illustrates the usefulness and flexibility of this decision support tool.     

Participants' perceptions on the role of facilitators using Group Decision Support Systems

The impact of facilitation upon group meetings has been a topic of research and debate for over 40 years. However, with the emergence and increasing usage of Group Decision Support Systems (GDSS), the role of facilitators is once more being addressed. Facilitators aim to substantially increase the effectiveness of group working, making meetings more productive and efficient through the management of both content and process. However, while the benefit that facilitators can bring is acknowledged, developing the necessary skills and techniques is more problematic. There are few manuals for would-be faciliators to draw upon, and much of their ability is acquired through experience. This article therefore attempts to increase the knowledge available and to provide facilitators with some practical suggestions. The research focuses on a series of interviews with group members (participants) who had used a particular GDSS—Strategic Options Development and Analysis (SODA)—for organizational decision making. From the analysis of the interviews, a number of reoccurring issues were identified which are presented as a set of learning points. These cover not only the workshop/meeting itself, but also the pre-workshop and post-workshop stages. The article also reflects on the impact which these identified learning points have on design and future GDSS development.