Classification of Urban Emergency Based on Fuzzy Analytic Hierarchy Process
Yaqin He, Shengpin Du
Abstract
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Yaqin He, Shengpin Du
Abstract
Open-access reader
Classification of emergency is the important premise of making pre-plan, and basis of allocation supplies and rescuers scientifically, as well as the key technology of emergency management. The previous studies of emergency grading emphasized grading after the accident, they did not consider traffic guarantee during the accident which would result in error judgment of grading. In addition, most studies were qualitative. In this paper, a quantitative model of grading of emergency during the accident was proposed. Considering traffic guarantee of rescue for emergency, the influence factors of emergency grading are recommended from three aspects such as characteristics of emergency, impact on society and capable of traffic guarantee. Because some factors are qualitative and difficult to measure exactly and objectively, the fuzzy analytic hierarchical process is introduced to determine local weight of factors and sub-factors. Finally, the proposed method is applied in a real fire.
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Classification of emergency is the important premise of making pre-plan, and basis of allocation supplies and rescuers scientifically, as well as the key technology of emergency management. The previous studies of emergency grading emphasized grading after the accident, they did not consider traffic guarantee during the accident which would result in error judgment of grading. In addition, most studies were qualitative. In this paper, a quantitative model of grading of emergency during the accident was proposed. Considering traffic guarantee of rescue for emergency, the influence factors of emergency grading are recommended from three aspects such as characteristics of emergency, impact on society and capable of traffic guarantee. Because some factors are qualitative and difficult to measure exactly and objectively, the fuzzy analytic hierarchical process is introduced to determine local weight of factors and sub-factors. Finally, the proposed method is applied in a real fire.
Key concepts: Grading (engineering), Premise, Fuzzy logic, Analytic hierarchy process, Computer science, Operations research, Emergency management, Traffic accident