China Safety Science Journal ›› 2019, Vol. 29 ›› Issue (7): 177-182.doi: 10.16265/j.cnki.issn1003-3033.2019.07.028

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Emergency decision-making method for collaborative management of low-altitude airspace

WANG Zengqiang1, DING Jing2, BAI Songhao3, WANG Zhengshu1   

  1. 1 School of Management, Xihua University, Chengdu Sichuan 610039, China;
    2 School of Public Affairs & Law, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
    3 National Key Laboratory of Airspace Technology, Beijing 100085, China
  • Received:2019-03-22 Revised:2019-05-29 Online:2019-07-28 Published:2020-10-21

Abstract: In view of the complexity of multi-department collaborative operations in low-altitude airspace emergency rescue, a multi-department emergency decision-making model based on multi-granularity linguistic information was presented. Firstly, multi-granularity linguistic phrases were employed to express the preference information, and some transformation functions were used to unify the multi-granular linguistic phrases into a uniform linguistic label set. The relative important degree of multiple departments, the cooperative coefficient between different departments and the weight vector of key attributes were obtained. Secondly, the evaluation indexes of key attributes with respect to each combination of alternations were determined considering multi-divisional cooperative. Thirdly, according to combination of evaluation indexes of combination alternatives and the weight vector of key attributes, the comprehensive evaluation value of each combination alternative was determined. Finally, a case study of low-altitude airspace emergency rescue after an earthquake was given to verify the feasibility of the proposed approach. The results show that the proposed collaborative decision-making model considers the uncertainty of the environment and the interaction of collaborative work at the same time, which makes the decision process and the outcomes more practical.

Key words: emergency decision, low-altitude airspace, collaborative management, multi-granularity linguistic information, key attribute

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