Research on Dynamic Assessment Method of Earthquake Scene Rescue Performance Based on AHP and Cloud Model
Sining Huang,
Yupeng Chen,
Xusheng Feng,
Tiantian Qiao,
Dandan Yu and
Yongqiang Yang
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Sining Huang: Department of Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
Yupeng Chen: Department of Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
Xusheng Feng: Department of Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
Tiantian Qiao: Department of Computation Mathematics, China University of Petroleum (East China), Qingdao 266580, China
Dandan Yu: Department of Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
Yongqiang Yang: Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
Mathematics, 2022, vol. 10, issue 2, 1-16
Abstract:
In view of the ambiguity and randomness of the assessment of earthquake scene rescue performance, this paper proposes an integrated assessment method considering quantitative and qualitative influencing factors from three levels: search, rescue and medical treatment. Firstly, this study constructs an assessment index system of rescue performance at the earthquake scene based on the International Search and Rescue Advisory Group (INSARAG) guidelines set by International Search and Response. Secondly, the subjective weights and objective weights of each index were calculated using the hierarchical analysis process (AHP) and cloud model, respectively. The comprehensive weights were calculated using weighted analysis, and the performance assessment results were visually expressed by cloud model images. Finally, the study was applied to an earthquake rescue case with an initial assessment of 4.0065, and its performance was improved by 4.36% when the rescue process was optimized. The assessment results show that earthquake rescue performance can be estimated, and the rationality and effectiveness of the method was validated.
Keywords: rescue performance; index system; AHP; cloud model; weighted analysis method (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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