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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Study on Fuzzy Catastrophe Risk Model Based on Synthetic Effect
verfasst von : Xiaoxia Zhu, Jiaxin Wang, Ruijiang Wang
Erschienen in: LISS 2014
Verlag: Springer Berlin Heidelberg
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Abstract
In this paper, we analyzed the essential meaning of the catastrophe risk on the basis of its many results, that is, the bottleneck of the catastrophe risk analysis is its complexity. One way to resolve or alleviate this problem is to analyze the risk from the viewpoint of fuzzy logic-catastrophic fuzzy risk analysis. we propose the concept of synthetic effect and further establish a fuzzy catastrophic risk (FCR) model based on synthetic effect, and specify the model by considering catastrophe risk in Shanghai. The results indicate that the method is not only accommodates the existing fuzzy decision-making methods, but also successfully incorporates the decision preference into the optimization process.