RIMSAT DSS Project: Integrating Model- Based and Case-Based Reasoning
نویسنده
چکیده
Although studies have shown that expert safety-critical decision-makers base the majority of their incident command decisions on past experiences, there is not yet a decision support tool enabling them to access relevant experience during an incident. The Remote Intelligent Management Support and Training (RIMSAT) project aims to provide such a solution through the integration of model-based reasoning (MBR) and casebased reasoning (CBR) technologies. CBR allows Incident Commanders (ICs) to access lessons learned from previous, similar incidents and to compare their current situation with the previous one. MBR allows ICs to calculate resource needs and safety margins. Integration of MBR and CBR through a technique called context-sensitive feature weighting (CSFW) facilitates the use of the decision support tool and enhances the tool's ability to provide relevant lessons by emphasising the aspects of the incident which are most important in the specific context.
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تاریخ انتشار 2004