Research on Demand Forecast for Emergency Resources Based on CBR and Grey Relational Analysis

Zai Peng Duan; Xin Ming Qian; Ying Quan Duo; Zong Zhi Wu

doi:10.4028/www.scientific.net/AMR.962-965.3050

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Network Teaching System
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Research on Demand Forecast for Emergency...

Research on Demand Forecast for Emergency Resources Based on CBR and Grey Relational Analysis

Abstract:

This thesis intends to study the technology that case base reason (CBR) and grey relationship analysis are used to forecast the demand. The rescue database with plenty of information is used. CBR is used to calculate the similarity matrix between historical cases and target cases, and then the similarity vector is calculated. The grey relationships between historical cases and target cases are analyzed, and then the model is built where the similarity and grey relationships are integrated; the cases are verified by the model at the end

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

3050-3053

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.3050

Citation:

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Online since:

June 2014

Authors:

Zai Peng Duan, Xin Ming Qian*, Ying Quan Duo, Zong Zhi Wu

Keywords:

Case Inference, Demand Forecast, Emergency Resources, Grey Relationship Analysis

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* - Corresponding Author

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