Dynamic early-warning method of emergency event with interval information

被引:0
|
作者
Zhang Z.-X. [1 ,2 ]
Wang L. [1 ,2 ]
Wang Y.-M. [1 ]
机构
[1] Institute of Decision Science, Fuzhou University, Fuzhou
[2] Department of Computer Sciences, University of Jaén, Jaén
来源
Wang, Ying-Ming (msymwang@hotmail.com) | 1600年 / Northeast University卷 / 32期
关键词
Dynamic early-warning; Emergency event; Evidential reasoning; Interval information;
D O I
10.13195/j.kzyjc.2016.0731
中图分类号
学科分类号
摘要
Considering the limitation of the existing studies and the features of uncertainty and dynamics of emergency event early-warning information, a dynamic early-warning method for emergency event is proposed. Interval evaluation grade standard is firstly described. Based on this standard and the dynamic early-warning interval information between time points ti-ti+1, the basic belief degrees on different assessment grades with regards to each criterion are calculated. Then, the basic belief degrees are transformed and integrated by evidential reasoning from the subcriterion step by step until the final belief degrees are calculated, which can reflect the safety state of the emergency warning objects. Finally, a numerical example is provided to illustrate the feasibility and validity of the proposed method. © 2017, Editorial Office of Control and Decision. All right reserved.
引用
收藏
页码:1306 / 1312
页数:6
相关论文
共 28 条
  • [1] Kyushu economic impact of the Kumamoto Earthquake: Many industries affected
  • [2] SAWS informed an "4·3" major roof accident in Tianli Coal mine in Xinjiang
  • [3] Pingdingshan 5.25 particularly serious fire accident investigation report
  • [4] Peng C., Yang J., Xue B., Et al., Exploring the feasibility of earthquake early warning using records of the 2008 Wenchuan earthquake and its aftershocks, Soil Dynamics and Earthquake Engineering, 57, 7, pp. 86-93, (2014)
  • [5] Grasso V.F., Beck J.L., Manfredi G., Automated decision procedure for earthquake early warning, Engineering Structures, 29, 12, pp. 3455-3463, (2007)
  • [6] Burchard-Levine A., Liu S., Vince F., Et al., A hybrid evolutionary data driven model for river water quality early warning, J of Environmental Management, 143, 3, pp. 8-16, (2014)
  • [7] Huang J., Huang R., Ju N., Et al., 3D WebGIS-based platform for debris flow early warning: A case study, Engineering Geology, 197, 7, pp. 57-66, (2015)
  • [8] Liu L., Shen Y., Cao X.Y., Et al., Research on darly-warning model of unconventional emergencies based on key information, Management Review, 24, 2, pp. 166-176, (2012)
  • [9] Zhong M., Research on early-warning of gas in coal mine based on fuzzy Ddta fusion, pp. 6-7, (2009)
  • [10] Chen S.J., The realization of fire early alarm system using multi-sensor data fusion technology based on D-S evidence theory, pp. 2-5, (2010)