Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
According to the principle in making multi-objective decision, this paper has advanced two kinds of mathematical models of optimal operation of water distribution system.
根据多目标决策原理，建立了两种配水系统优化运行的数学模型。
Solutions of this model offer decision-makers an alternative optimal solution. This linear goal programming model is an effective method to make product distribution decisions.
对模型解的分析为决策者提供了改变目标优先级情况下的可供选择的最优方案，因此，线性目标规划法是解决产品分销决策的一种有效方法。
Solutions of this model offer decision-makers an alternative optimal solution. This linear goal programming model is an effective method to make product distribution decisions.
对模型解的分析为决策者提供了改变目标优先级情况下的可供选择的最优方案，因此，线性目标规划法是解决产品分销决策的一种有效方法。
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