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Study on location allocation of earthquake emergency service depot based on hybrid multi-attribute decision making

Author

Listed:
  • Xianjun Guan

    (Tongji University)

  • Fei Bi

    (Anhui University)

  • Min Liu

    (Anhui University)

  • Huayou Chen

    (Anhui University)

  • Ligang Zhou

    (Anhui University
    Nanjing University of Information Science and Technology)

Abstract

The aim of this paper is to propose a location model of earthquake emergency service depot on the basis of hybrid multi-attribute decision-making method. The advantage of the proposed method is that practical mixed uncertainty of location decision information is considered, and the corresponding factors that affect the location of transfer stations are contained. To solve the location problem, a hybrid multi-attribute decision procedure without information transformation is developed. Besides, a novel weighting method and aggregation process is given. Finally, a numerical example is provided to show the feasibility and validity of the proposed method.

Suggested Citation

  • Xianjun Guan & Fei Bi & Min Liu & Huayou Chen & Ligang Zhou, 2018. "Study on location allocation of earthquake emergency service depot based on hybrid multi-attribute decision making," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 337-348, January.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:1:d:10.1007_s11069-017-3051-8
    DOI: 10.1007/s11069-017-3051-8
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    References listed on IDEAS

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    1. O Berman & Z Drezner & D Krass, 2011. "Discrete cooperative covering problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 2002-2012, November.
    2. O Berman & Z Drezner & D Krass, 2011. "Discrete cooperative covering problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 2002-2012, November.
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