[1] |
ZHENG Yahong, KE Jiangcen, WANG Haiyan. Risk propagation of concentralized distribution logistics plan change in cruise construction[J]. Processes, 2021, 9(8): DOI: 10.3390/PR9081398.
doi: 10.3390/PR9081398
|
[2] |
CUMPERAYOT P, KOUWENBERG R. Early warning systems for currency crises: a multivariate extreme value approach[J]. Journal of International Money Finance, 2013, 36: 151-171.
doi: 10.1016/j.jimonfin.2013.03.008
|
[3] |
LIN Jianxiong. Design of enterprise financial early warning model based on complex embedded system[J]. Microprocessors Microsystems, 2021, 80: DOI: 10.1016/j.micpro.2020.103532.
doi: 10.1016/j.micpro.2020.103532
|
[4] |
冯巩, 夏元友, 王智德, 等. 基于位移信息融合的露天矿边坡动态预警方法[J]. 中国安全科学学报, 2022, 32(3): 116-122.
doi: 10.16265/j.cnki.issn1003-3033.2022.03.016
|
|
FENG Gong, XIA Yuanyou, WANG Zhide, et al. Dynamic early warning method of open-pit mine slopes based on integrated displacement information[J]. China Safety Science Journal, 2022, 32(3): 116-122.
doi: 10.16265/j.cnki.issn1003-3033.2022.03.016
|
[5] |
YANG Wendong, TANG Guolin, HAO Yan, et al. A novel framework for forecasting, evaluation and early-warning for the influence of PM10 on public health[J]. Atmosphere, 2021, 12(8): DOI: 10.3390/atmos12081020.
doi: 10.3390/atmos12081020
|
[6] |
JIA Xiaohui, ZHANG Donghui. Prediction of maritime logistics service risks applying soft set based association rule: an early warning model[J]. Reliability Engineering System Safety, 2021, 207: DOI: 10.1016/j.ress.2020.107339.
doi: 10.1016/j.ress.2020.107339
|
[7] |
XIANG Ziquan, YANG Jiaqi, NASEEM M H, et al. Risk assessment of cruise construction logistics allocation based on improved intuitionistic fuzzy TOPSIS method[J]. Journal of Intelligent & Fuzzy Systems, 2022, 43(4): 5237-5250.
|
[8] |
KLIESTIK T, VRBKA J, ROWLAND Z. Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis[J]. Equilibrium Quarterly Journal of Economics and Economic Policy, 2018, 13(3): 569-593.
|
[9] |
PANG Fengrui, LUO Qinghong, HONG Xiuqin, et al. The study on the early warning period of varicella outbreaks based on logistic differential equation model[J]. Epidemiology Infection, 2019, 147: DOI: 10.1017/S0950268818002868.
doi: 10.1017/S0950268818002868
|
[10] |
DABROWSKI J J, BEYERS C, DE VILLIERS J P. Systemic banking crisis early warning systems using dynamic Bayesian networks[J]. Expert Systems with Applications, 2016, 62: 225-242.
doi: 10.1016/j.eswa.2016.06.024
|
[11] |
QU Zhigang, FENG Hao, ZENG Zhoumo, et al. A SVM-based pipeline leakage detection and pre-warning system[J]. Measurement, 2010, 43(4): 513-519.
doi: 10.1016/j.measurement.2009.12.022
|
[12] |
石娟, 常丁懿, 郑鹏. 基于BP神经网络的建筑工人不安全行为预警模型[J]. 中国安全科学学报, 2022, 32(1): 27-33.
doi: 10.16265/j.cnki.issn1003-3033.2022.01.004
|
|
SHI Juan, CHANG Dingyi, ZHENG Peng. An early warning model of unsafe behaviors of construction workers based on BP neural network[J]. China Safety Science Journal, 2022, 32(1): 27-33.
doi: 10.16265/j.cnki.issn1003-3033.2022.01.004
|
[13] |
CHEN Yanyu, ZHENG Wenzhe, LI Wenbo, et al. Large group activity security risk assessment and risk early warning based on random forest algorithm[J]. Pattern Recognition Letters, 2021, 144: 1-5.
doi: 10.1016/j.patrec.2021.01.008
|
[14] |
JAVAN S L, SEPEHRI M M, JAVAN M L, et al. An intelligent warning model for early prediction of cardiac arrest in sepsis patients[J]. Computer Methods Programs in Biomedicine, 2019, 178: 47-58.
doi: 10.1016/j.cmpb.2019.06.010
|
[15] |
WEI Xianfu. A method of enterprise financial risk analysis and early warning based on decision tree model[J]. Security Communication Networks, 2021, 2021: 1-9.
|
[16] |
NIU Bing, ZHANG Hui, ZHOU Guangya, et al. Safety risk assessment and early warning of chemical contamination in vegetable oil[J]. Food Control, 2021, 125: DOI: 10.1016/j.foodcont.2021.107970.
doi: 10.1016/j.foodcont.2021.107970
|
[17] |
PAWLAK Z. Rough sets[J]. International Journal of Computer & Information Sciences, 1982, 11: 341-356.
|