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Risk Assessment on Drought Disaster in China Based on Integrative Cloud Model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Junfei Zhao, Shufang Shao, Quanxi Wang, Huimin |
| Copyright Year | 2012 |
| Abstract | This study promotes cloud model for risk assessment of drought disaster. Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. Cloud is expressed by a concept with three quantitative characteristics of expectation, entropy and hyper entropy and the mapping between qualitative and quantitative is realized. In this study, considering the fuzziness and uncertainty of drought disaster, we established the comprehensive cloudy model based on entropy weight method for evaluating the risk of drought disaster. The disaster-affected rate and disaster-damaged rate are selected as the evaluation indices of drought degree. The model is applied to assess the drought disaster risk in China. The BP neural network, hard division method and integrative cloud model are compared, and the integrative cloud model is shown better for evaluating drought risk. This study shows that risk assessment of drought disaster based on cloud model is feasible and effective and can provide decision-making for the risk assessment of drought disaster. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://maxwellsci.com/print/rjaset/v4-1137-1146.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
