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Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making 被引量:8
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作者 Jing Zheng Yingming Wang Shengqun Chen 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第3期749-757,共9页
Case-based reasoning(CBR) is one of the best methods for generating an effective solution in an emergency. In recent years, some methods for generating emergency alternatives have been included in practical CBR applic... Case-based reasoning(CBR) is one of the best methods for generating an effective solution in an emergency. In recent years, some methods for generating emergency alternatives have been included in practical CBR applications, but there have been no in-depth studies of these processes. In this study,we propose a new method for dynamic case retrieval with subjective preferences and objective information, which considers the personal preferences of the decision makers and changes in the attributes of the emergency as the situation develops. First,we present a formula for calculating the case similarity and changing trends in the case considered, where similar cases are obtained. Next, we describe a method for measuring the overall assessment value with respect to similar historical cases, which is obtained by aggregating the case similarity, the utility case similarity, the first response time, and the implementation effect.The subjective preferences and objective information are also integrated in the decision-making process. Finally, we present a case study based on the emergency response to a fire in a highrise building, which illustrates the applicability and feasibility of the proposed method. 展开更多
关键词 case-based reasoning(CBR) dynamic case retrieval pairwise comparison matrix preference relation weight estimation
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