DOI: 10.1007/s11069-020-04088-4
论文题名: A fuzzy social vulnerability evaluation from the perception of disaster bearers against meteorological disasters
作者: Cai M. ; Wei G.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 103, 期: 2 起始页码: 2355
结束页码: 2370
语种: 英语
中文关键词: Disaster bearers
; Fuzzy interpretive structural modeling (FISM)
; Linguistic variables
; Social vulnerability
英文关键词: decision making
; disaster management
; fuzzy mathematics
; meteorology
; perception
; risk assessment
; vulnerability
英文摘要: Because of climatic hazards and extreme weather events, meteorological disasters attract more and more attention of government, national, and international agencies. Every event tests people’s ability to cope with meteorological disasters and generates the need for disaster risk research and assessments. Social vulnerability is an important measure of disaster risk assessments. Social vulnerability assessment problem can be viewed as a multi-criteria decision-making problem. In order to satisfy the perception of special disaster bearers, we need a local-context approach to construct a social vulnerability evaluation index system. The key to this approach is to identify the evaluation criteria structure by analyzing the complicated information gathering from special disaster bearers. It’s natural to use fuzzy language to express disaster bearers’ preferences in a complicated context. This paper attempts to describe the interrelationship between the evaluation factors with linguistic preferences since linguistic variables can better reflect the vagueness of human being. The fuzzy interpretive structural modeling (FISM) approach has been employed to develop the structural relationship between social vulnerability evaluation factors. In FISM, we apply some computational models of computing with words to quantify the fuzzy interrelationship. Finally, we give an example to show the process of our method. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168413
Appears in Collections: 气候变化与战略
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作者单位: Key Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, China; School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Department of Mathematics and Computer Science, University of North Carolina At Pembroke, Pembroke, NC 28372, United States
Recommended Citation:
Cai M.,Wei G.. A fuzzy social vulnerability evaluation from the perception of disaster bearers against meteorological disasters[J]. Natural Hazards,2020-01-01,103(2)