From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepower level. Firstly, the optimized conditions of the perceptive level, command level and firepower level are analyzed respectively based on the demand of information relation, and then the information supply-and-demand equilibrium model of the operation architecture super-network is established. Secondly, a variational inequality transformation (VIT) model for equilibrium optimization of the operation architecture is given. Thirdly, the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed. Finally, numerical examples are given to prove the validity and rationality of the proposed method, and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.

中文翻译：

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具有模糊需求的运营架构的超网络平衡优化方法

从信息流的角度出发，提出了一种基于感知层，命令层和火力层的超网络均衡优化模型来计算作战体系的解决方案。首先，根据信息关系的需求，分别对感知水平，命令水平和火力水平的优化条件进行分析，然后建立作战体系结构超网络的信息供求平衡模型。其次，给出了用于操作架构均衡优化的变分不等式变换（VIT）模型。第三，设计了一种求解具有模糊需求的运营体系超级网络均衡优化模型的收缩投影算法。最后，