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

  • Wen-Ming ZhouEmail author
  • San-Wei Shen
  • Wen-Xiang Xia
  • Chun-Rong Zhang
  • Hai-Long Deng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 686)

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.

Keywords

Battlefield rescue Capability prediction Exponential method Queuing theory Fuzzy comprehensive evaluation 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Wen-Ming Zhou
    • 1
    Email author
  • San-Wei Shen
    • 2
  • Wen-Xiang Xia
    • 1
  • Chun-Rong Zhang
    • 1
    • 2
  • Hai-Long Deng
    • 1
  1. 1.Simulation Training Center, The Logistics AcademyBeijingChina
  2. 2.Graduate Department of Academy of Military ScienceThe PLABeijingChina

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