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Volume 5 Issue 3
May  2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2018  >  5(3): 749-757
Jing Zheng, Yingming Wang and Shengqun Chen, "Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 749-757, Mar. 2018. doi: 10.1109/JAS.2016.7510232
Citation: Jing Zheng, Yingming Wang and Shengqun Chen, "Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 749-757, Mar. 2018. doi: 10.1109/JAS.2016.7510232
shu

Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making

doi: 10.1109/JAS.2016.7510232
  • 1.

    Fuzhou University, Fujian 350116, China, J. Zheng is also with Fujian Jiangxia University, Fujian 350108, China

  • 2.

    S. Q. Chen is with the School of Electronics Information Science, Fujian Jiangxia University, Fujian 350108, China

Funds:

the National Science Foundation for Outstanding Youth of China 70925004

Fujian Province Transportation Hall of Science and Technology Development Projects, China 201319

the Science and Technology Project in Fujian Province Department of Education, China JB14122

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    Abstract
  • 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.

     

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