研究方法采用以期望值—基尼均差为集合空间的随机优势风险决策模型。
The analytical framework of choice in this study was stochastic efficiency analysis in a mathematical programming form of Mean-Gini difference.
针对不确定网络，研究具有随机参数的最短路径问题，采用随机数表示路径权值的不确定性，建立有约束的期望最短路模型。
Aiming at the uncertain networks, the shortest path problem with stochastic parameters is studied and the expected value model with constraints is constructed.
建立了随机指派问题的期望值目标规划模型、机会约束目标规划模型、相关机会目标规划模型。
Expected value goal programming model, chance-constrained goal programming model and dependent-chance goal programming model of random assignment problem are constructed.
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