Keynote Presentation: Decision Support Systems for Emergency Situations
We begin our presentation by providing an overview of the various requirements for DSS in the different phases of crisis management, from mitigation and preparedness, to response and recovery. For both phases of response and recovery we provide an illustrative example of a DSS that is operational, resp. the European RODOS system for nuclear emergencies and the Open Source disaster management system Sahana.In the second part of this talk, we will present a recently proposed framework for the design and development of a Dynamic Emergency Response Information System (DERMIS) that addresses the communication and information needs of first responders as well as the decision making needs of command and control personnel (Turoff et al.,2004). The proposed framework also incorporates thinking about the value of insights and information from communities of geographically dispersed experts and suggests how that expertise can be brought to bear on crisis decision-making (Bieber et al., 2001). In particular, we argued that there is a lot of opportunity in DERMIS for intelligent software to aid the users of the system: Letting individuals know who is the subgoup concerned at some point in time with the same situation; Finding information that a given individual is not aware ofbut should be; Helping the user to adapt to meet a changing situation and requirements.The long-term success of the system is clearly dependent on smart features being evolved as part of an on goingdevelopment process with feedback from real users and real applications. We will provide examples of how we envision such smart features.As a case in point, we will illustrate the role of fitzzy decision analysis in threat analysis for the specific case of TT Service Continuity management. TT Service Continuity management allows an organization to identify, assess and take responsibility fox managing its threats to民thus enabling it to decide which threats it wishes to prevent from becoming real, and act positively to protect the interests of all stakeholders, which include employees, customers,shareholders, partners, suppliers, etc. The increased attention to ITSC in recent years has led many organizations to list all possible threats and risks to the continuity of their ICT services. Clearly, such a list-often called a risk registry-can hardly be complete and needs to be tailored to the organization. A key problem in the construction of this list and the ensuing TTSC management is that the different stakeholders involved一such as star customers or shareholders一perceive the impact, likelihood and scope of the threats posed to the IT services in a different way (Rukkowski et al., 2005). We will present the design, development and exploratory evaluation of the FURIA fuzzy decision support system to assist individual members of a stakeholder group in assessing the threats posed to the continuity of TT services, and to compare their individual assessment to the assessments of the other goup members (Van de Walle and Rutkowski 2006).
Bartel Van de Walle
Tilburg University, the Netherlands
国际会议
哈尔滨
英文
202-203
2006-09-02（万方平台首次上网日期，不代表论文的发表时间）