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

Author:

Duan Zai Peng1,Qian Xin Ming1,Duo Ying Quan2,Wu Zong Zhi2

Affiliation:

1. Beijing Institute of Technology

2. China Academy of Safety Science and Technology

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

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference6 articles.

1. Shi Z, Zhou H, Wang J: Artificial Intelligence in Engineering. Vol. 11(2) (1997), p.167.

2. Bose A, Gini M, Riley D: Artificial Intelligence in Engineering. Vol. 11(2) (1997), p.107.

3. Jun Wang: Journal of Tsinghua University Vol. 46(S1) (2006), p.900 In Chinese.

4. Sifeng Liu: Grey System Theory and Applications (Science Press, Beijing 2004) In Chinese.

5. Rui Guo: Evaluation of Provincial Natural Science Foundation of China based on gray relational analysis (Hefei University of Technology Master's degree thesis, hefei 2008) In Chinese.

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