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

机译:基于灰关联投影和组合权重算法的计划评价决策模型分析

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摘要

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.
机译:在兵役联合作战中,作战部队越多,消耗的物资越多,保障更加复杂模糊,人员部署更加迅速,战时军事物资保障力量提供的保障更加有效。在战时部署军事物资保障部队的原则,要求,影响因素和目标时,就建立了评价指标体系。因此,开发了一种新的基于层次分析法(AHP)的组合赋权方法来计算主观权重,并使用粗糙熵方法来计算客观权重。可以通过计算权重偏好系数误差来获得组合权重,权重偏好系数误差是通过将合作博弈方法和最小偏差组合为目标而确定的。这种方法可以确定灰色关联投影系数并综合测量方案的优势,最终使用灰色关联投影决策方法优化部署计划。结果表明,该方法可行,有效。它可以为战时军事物资保障力量的部署提供更加科学,实用的决策依据。

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