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Study on Fuzzy Catastrophe Risk Model Based on Synthetic Effect

In: Liss 2014

Author

Listed:
  • Xiaoxia Zhu

    (Hebei University of Science and Technology)

  • Jiaxin Wang

    (Beijing Polytechnic University)

  • Ruijiang Wang

    (China International Engineering Consulting Corporation)

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.

Suggested Citation

  • Xiaoxia Zhu & Jiaxin Wang & Ruijiang Wang, 2015. "Study on Fuzzy Catastrophe Risk Model Based on Synthetic Effect," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1549-1556, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_223
    DOI: 10.1007/978-3-662-43871-8_223
    as

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