Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (4): 789-796.doi: 10.21629/JSEE.2018.04.13

• Systems Engineering • Previous Articles     Next Articles

Analysis on decision-making model of plan evaluation based on grey relation projection and combination weight algorithm

Zhicai ZHANG1,*(), Li CHEN2()   

  1. 1 Army Logistical University of PLA, Chongqing 401311, China
    2 Logistics University of PAP, Tianjin 300309, China
  • Received:2017-05-10 Online:2018-08-01 Published:2018-08-30
  • Contact: Zhicai ZHANG;
  • About author:ZHANG Zhicai was born in 1987. He received his B.S. degree in management engineering in 2011, and M.S. degree in applied chemistry in 2014 from Logistical Engineering University, respectively. He is currently a Ph.D. student in Army Logistical University. His research interests are petroleum of liquid (POL) service, modeling and simulation. E-mail:|CHEN Li was born in 1989. He received his B.S. degree in oil and gas storage and transportation engineering from Wuhan University of Technology in 2011, and M.S. degree in applied chemistry from Logistical Engineering University in 2014. He is currently a teacher in Logistics University of PAP. His research interest is military fuel service. E-mail:
  • Supported by:
    the Education Science Fund of the Military Science Institute of Beijing, China(2015JY320);This work was supported by the Education Science Fund of the Military Science Institute of Beijing, China (2015JY320)


In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles, requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process (AHP) is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective; it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.

Key words: method for grey relation projection decision-making, military supply power in war, deployment plan, optimization, analytic hierarchy process (AHP), rough entropy method