A comprehensive literature review of the demand forecasting methods of emergency resources from the perspective of artificial intelligence-Reference-Cited by-同舟云学术

A comprehensive literature review of the demand forecasting methods of emergency resources from the perspective of artificial intelligence

Published:2019-05 Issue:1 Volume:97 Page:65-82
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Zhu Xiaoxin,Zhang Guanghai,Sun Baiqing

Funder

National Natural Science Foundation of China

Postdoctoral Research Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

http://link.springer.com/content/pdf/10.1007/s11069-019-03626-z.pdf

Reference53 articles.

1. Aviv Y (2003) A time-series framework for supply chain inventory management. Oper Res 51(2):210–227

2. Billings RB, Jones CV (2008) Forecasting urban water demand. American Water Works Association, Denver, CO

3. Bin Y, Zhaohui Ma, Zhiyong H (2014) Analysis on earthquake emergency material preparation demand based on earthquake risk evaluation taking Datong city of Shanxi province as an example. Int J Technol Manag 3:40–43

4. Bing R, Changfeng Z, Xiao Z (2018) A PT based model for dynamic adjusting emergency material demand. China Saf Sci J 28(3):179–184

5. Bingzhen S, Weimin Ma, Haiyan Z (2012) A fuzzy rough set approach to emergency material demand prediction over two universes. Appl Math Modell 31:7062–7070

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