Title :
The comprehensive ranking evaluation of flood disaster based on grey-cloud whitening-weight function
Author_Institution :
Libr., Jianghan Univ., Wuhan, China
Abstract :
This paper refined the traditional whitening-weight function using the cloud model, which is a representation of both fuzziness and stochastic, and could take a bi-directional conversion between qualitative and quantitative. In this way, a grey-cloud clustering model is proposed for the comprehensive ranking evaluation of flood disaster. The novel method is applied to evaluate the 45 flood disaster cases of several provinces in 1989~1999, and takes the amount of building collapse, affected area, number of victims, direct economic loss as evaluation indicators. The result shows that this method has much rationality and utility for flood disaster evaluation.
Keywords :
disasters; floods; grey systems; pattern clustering; bidirectional conversion; building collapse; cloud model; comprehensive ranking evaluation; economic loss; flood disaster evaluation; fuzziness representation; grey cloud clustering model; grey cloud whitening weight function; stochastic representation; Analytical models; Artificial neural networks; Buildings; Economics; Educational institutions; Floods; Stochastic processes; comprehensive ranking evaluation; flood disaster; grey-cloud clustering; whitening-weight function;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023416
