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Hybrid Algorithm for Prediction of Battlefield Rescue Capability of Brigade Medical Aid Station

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Advances in Intelligent Systems and Interactive Applications (IISA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 686))

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Abstract

Key links and main influencing factors of battlefield rescue are analyzed and studied. The index system of prediction of battlefield rescue capability of brigade medical aid station is established. Through integrating queuing theory, fuzzy comprehensive evaluation, analytic hierarchy process and mathematical definition with exponential method, a hybrid algorithm for prediction of battlefield rescue capability is proposed. A simulation example of evaluation is presented. The validity and practicability of the comprehensive method is verified, and the logistics command decision and system optimum design of the battlefield rescue health service support are strongly supported by the prediction algorithm.

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Author information

Authors and Affiliations

  1. Simulation Training Center, The Logistics Academy, Taiping Rd, No. 23, Beijing, 100858, China

    Wen-Ming Zhou, Wen-Xiang Xia, Chun-Rong Zhang & Hai-Long Deng

  2. Graduate Department of Academy of Military Science, The PLA, Xianghongqi Rd, No. 1, Beijing, 100091, China

    San-Wei Shen & Chun-Rong Zhang

Authors
  1. Wen-Ming Zhou
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  2. San-Wei Shen
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  3. Wen-Xiang Xia
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  4. Chun-Rong Zhang
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  5. Hai-Long Deng
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Corresponding author

Correspondence to Wen-Ming Zhou .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Y. Zomaya

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Zhou, WM., Shen, SW., Xia, WX., Zhang, CR., Deng, HL. (2018). Hybrid Algorithm for Prediction of Battlefield Rescue Capability of Brigade Medical Aid Station. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_33

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  • DOI: https://doi.org/10.1007/978-3-319-69096-4_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69095-7

  • Online ISBN: 978-3-319-69096-4

  • eBook Packages: EngineeringEngineering (R0)

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