Technical Study on Demand Forecast for CBR Emergency Resources Based on Information Entropy and Standard Deviation

Author:

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

Affiliation:

1. Beijing Institute of Technology

2. China Academy of Safety Sciences and Technology

Abstract

This thesis intends to study the technology that the information entropy and the standard deviation are used to forecast the CBR demand. Firstly the standard deviation is used to calculate the weight of each index; secondly, the rescue database with plenty of information and the information entropy are used to calculate the weight of each index level, then the model is built where standard deviation weight and entropy weight are integrated; the cases are verified by the model at the end.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 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. Mu Liu: Oil and gas pipelines emergency resource demand forecasting and transporting methods research (Ph.D. Dissertation Beijing Institute of Technology, Beijing 2010) In Chinese.

5. Jungang Luo: Journal of Hydraulic Engineering. Vol. 39(9) (2008), p.1092 In Chinese.

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