The Method of Case Retrieving in the Emergency Field Based on CBR
WI-IAT), 2010 IEEE/WIC/ACM International Conference（2010）
Abstract
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.
MoreTranslated text
Key words
structural similarity degree,two-layer case,emergency leader,emergency aid decision-making,effective emergency decision,missing value,case-based reasoning,emergency field,academic circle,attribute similarity degree,effective aid decision-making,missing values,cognition,xml,case base reasoning,decision support systems,nearest neighbor,fuzzy sets,algorithm design and analysis,emergency,structural similarity,typhoons,case based reasoning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined