[1]
|
Sun, B.Z., Ma, W.M. and Zhao, H.Y. (2013) A Fuzzy Rough Set Approach to Emergency Material Demand Prediction over Two Universes. Applied Mathematical Modelling, 37, 7062-7070. http://dx.doi.org/10.1016/j.apm.2013.02.008
|
[2]
|
Wilson, D.T., Hawe, G.I., Coates, G. and Crouch, R.S. (2013) A Multi-Objective Combinatorial Model of Casualty Processing in Major Incident Response. European Journal of Operational Research, 230, 643-655.
http://dx.doi.org/10.1016/j.ejor.2013.04.040
|
[3]
|
Xu, X.Y., Qi, Y.Q. and Hua, Z.S. (2010) Forecasting Demand of Commodities after Natural Disasters. Expert Systems with Applications, 37, 4313-4317. http://dx.doi.org/10.1016/j.eswa.2009.11.069
|
[4]
|
Jones, S.S., Evans, R.S., Allen, T.L., et al. (2009) A Multivariate Time Series Approach to Modeling and Forecasting Demand in the Emergency Department. Journal of Biomedical Informatics, 42, 123-139.
http://dx.doi.org/10.1016/j.jbi.2008.05.003
|
[5]
|
Ninno, C.D., Dorosh, P.A. and Smith, L.C. (2003) Public Policy, Markets and Household Coping Strategies in Bangladesh: Avoiding a Food Security Crisis Following the 1998 Flood. World Development, 31, 1221-1238.
http://dx.doi.org/10.1016/S0305-750X(03)00071-8
|
[6]
|
Liu, W.M., Hu, G.Y. and Li, J.F. (2012) Emergency Resources Demand Prediction Using Case-Based Reasoning. Safety Science, 50, 530-534. http://dx.doi.org/10.1016/j.ssci.2011.11.007
|
[7]
|
Wang, W. and Liu, M. (2010) Method of Emergency Resources Demand Forecasting Based on Case-Based Reasoning. Journal of Safety and Environment, 10, 217-220.
|
[8]
|
Deng, S.C., Wu, Q., Shi, B., et al. (2014) Prediction of Resource for Responding Waterway Transportation Emergency Based on Case-Based Reasoning. China Safety Science Journal, 24, 79-84.
|
[9]
|
Wang, X. and Zhuang, Y. (2010) Forecasting Model of Unconventional Emergence Incident’s Resource Demand Based on Case-Based Reasoning. Journal of Xidian University (Social Science Edition), 20, 22-26.
|
[10]
|
Sheu, J.B. (2010) Dynamic Relief-Demand Management for Emergency Logistics Operations under Large-Scale Disasters. Transportation Research Part E: Logistics and Transportation Reviews, 46, 1-17.
http://dx.doi.org/10.1016/j.tre.2009.07.005
|
[11]
|
Sheu, J.B. (2007) An Emergency Logistics Distribution Approach for in Disasters. Transportation Research Part E: Logistics and Transportation Reviews, 43, 687-709. http://dx.doi.org/10.1016/j.tre.2006.04.004
|
[12]
|
Fiedrich, F., Gehbauer, F. and Rickers, U. (2000) Optimized Resource Allocation for Emergency Response after Earthquake Disasters. Safety Science, 35, 41-57.
|
[13]
|
Qin, J.C., Xing, Y.T., Wang, S., et al. (2012) An Inter-Temporal Resource Emergency Management Model. Computers & Operations Research, 39, 1909-1918. http://dx.doi.org/10.1016/j.cor.2011.07.008
|
[14]
|
Li, C.D., Cao, C.J. Yang, Q., et al. (2014) Application of BOX theory in Multi-Stage Emergency Resource Scheduling-Taking Emergency Response Stage as an Example. China Safety Science Journal, 24, 159-165.
|
[15]
|
Roger, C.S. and David, B.L. (1989) Creativity and Learning in a Case-Based Explainer. Artificial Intelligence, 40, 353-385. http://dx.doi.org/10.1016/0004-3702(89)90053-2
|