Study on Fuzzy Catastrophe Risk Model Based on Synthetic Effect

Xiaoxia Zhu (), Jiaxin Wang () and Ruijiang Wang ()
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Xiaoxia Zhu: Hebei University of Science and Technology
Jiaxin Wang: Beijing Polytechnic University
Ruijiang Wang: China International Engineering Consulting Corporation

A chapter in LISS 2014, 2015, pp 1549-1556 from Springer

Abstract: 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.

Keywords: Catastrophe risk; Fuzzy risk; Synthetic effect (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_223

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DOI: 10.1007/978-3-662-43871-8_223

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