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A Rapid Data Processing and Assessing Model for “Scenario-Response” Types Natural Disaster Emergency Alternatives

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Daji Ergu

    (University of Electronic Science and Technology of China)

  • Gang Kou

    (University of Electronic Science and Technology of China)

  • Yong Zhang

    (University of Electronic Science and Technology of China)

Abstract

In the processes of assessing the emergency alternatives of “scenario-response” types natural disaster by Analytic Hierarchy (Network) Process (AHP/ANP), the elements or data of the scenario itself, the real-time data and the trend factors of the evolution of “scenario-response” types natural disaster emergencies etc. are usually inconsistent and intangible, which increase the difficulty of emergency alternatives assessment and delay the speed of emergency response. Therefore, in this paper, a logarithm mean induced bias matrix (LMIBM) model is proposed to quickly process the inconsistent data of “scenario-response” type’s natural disaster when AHP/ANP is used to assess the natural disaster emergency alternatives and evolution trend factors of natural disaster emergency accidents. Two numerical examples are used to illustrate the proposed model, and the results show that LMIBM can quickly identify the inconsistent natural disaster data and improve the speed of emergency alternatives assessment and natural disaster response by AHP/ANP.

Suggested Citation

  • Daji Ergu & Gang Kou & Yong Zhang, 2013. "A Rapid Data Processing and Assessing Model for “Scenario-Response” Types Natural Disaster Emergency Alternatives," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 61-69, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_7
    DOI: 10.1007/978-3-642-38391-5_7
    as

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