›› 2016, Vol. 28 ›› Issue (8): 37-42.

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A Two-stage Case Retrieval Method Based on Multi-dimensional Scenario Space Method

Qian Jing1, Liu Yi2, Liu Cheng1, Jiao Yuying1   

  1. 1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084;
    2. Pubic Order School, People's Public Security University of China, Beijing 100038
  • Received:2016-05-18 Online:2016-08-28 Published:2016-09-24

Abstract:

In response to emergencies, learning from those previous similar cases and experiences is a relatively good decision-making method for emergency management. On the other hand, in light of the complexity of disaster cases which may contain lots of scenarios and attributes in different stages of disaster development, it's very difficult to utilize these cases for real situations without subtle processing. The application of case-based reasoning method to the study of complex emergencies is of great importance. Recent researches have proved that scenario-based reasoning is much more efficient than case-based reasoning. This paper develops case retrieval algorithms on optimized hierarchical case retrieval structure. In order to improve the accuracy and efficiency of case retrieval and decision-making process, approaches proposed in this paper are all centering on the concept of scenarios. Parts of a real case are selected to verify the effect of these algorithms.

Key words: case-based reasoning method, multi-dimensional scenario space method, case representation, case retrieval