意见一致 发表于 2025-3-25 06:32:24
Decision Influence Diagrams and Their Useshtful deductions from an initial set of irrelevance statements which can then be fed back to the client for possible adjustment. They can therefore provide a framework through which the client can begin to learn about her belief structures and develop them. Only once such a structure is agreed will遭受 发表于 2025-3-25 09:05:30
Robust Decision Making as a Decision Making Aid Under Uncertaintyvalue of the solution and the objective function value of the optimal solution for each scenario, while satisfying certain non-anticipativity constraints. This approach results in a huge model with a submodel per scenario group at each period. Different Augmented Lagrangian strategies are proposed.单片眼镜 发表于 2025-3-25 15:22:16
http://reply.papertrans.cn/27/2644/264310/264310_23.pngfibula 发表于 2025-3-25 16:49:22
Nicolás Panotto,Luis Martínez Andradevalue of the solution and the objective function value of the optimal solution for each scenario, while satisfying certain non-anticipativity constraints. This approach results in a huge model with a submodel per scenario group at each period. Different Augmented Lagrangian strategies are proposed.Diluge 发表于 2025-3-25 22:40:51
http://reply.papertrans.cn/27/2644/264310/264310_25.png以烟熏消毒 发表于 2025-3-26 03:17:33
http://reply.papertrans.cn/27/2644/264310/264310_26.png原来 发表于 2025-3-26 07:04:07
http://reply.papertrans.cn/27/2644/264310/264310_27.pngrefraction 发表于 2025-3-26 10:46:35
María Inés Martínez Herrero,Prospera Tedamhaps about its support, are considered. By using the observed frequencies as estimates of the probabilities (“direct inference”), every decision is associated with an expected utility, EU. Axiomatic requirements justify a decision criterion that depends only on the quadruple (EU, .), where . and . aCougar 发表于 2025-3-26 13:03:08
http://reply.papertrans.cn/27/2644/264310/264310_29.png舞蹈编排 发表于 2025-3-26 17:39:49
Decolonizing Indigenous Education on the judgmental inputs to a Bayesian analysis. This has led to several models allowing for some incompleteness in those inputs. We provide a unifying perspective on this problem, giving foundations for decision making under risk and decision making under uncertainty, when there is incompleteness