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The Method of Case Retrieving in the Emergency Field Based on CBR

How to make scientific and effective emergency decisions is a research hotspot in academic circles at present. This paper applies case-based reasoning to emergency aid decision-making, which provides a method of scientific and effective aid decision-making for the emergency leaders. The two-layer case retrieving algorithm based on structural similarity degree and attribute similarity degree is designed, which effectively overcomes the shortcomings of traditional Nearest Neighbor Algorithm that fails to calculate the similarities between the cases with the missing values. The application of case retrieving algorithm to the field of typhoon analysis is used to illustrate the practicality of case retrieving in emergency aid decision-making.