...二)应用多属性效用理論(Multi-AttributeUtility Theory)求解公共设施区位问题,多属性效用理論系将决策空间(Decision Space)对应到结果空间(Outcome Space),在把结果空间对应到效用空间(Utility Space),在效用空间构建的多属性效用函數即为衡量决策...
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空间决策支持系统 SDSS ; spatial decision support system ; Spatial decision-making supporting system
空间决策 spatial decision ; Spatial decision-making
多目标空间决策 MOSD
空间决策支持 spatial decision support
智能空间决策支持系统 ISDSS ; Intelligent spatial decision support system
空间决策支 SDSS ; spatial decision support system
空间决策支援系统 spatial decision support system
·2,447,543篇论文数据,部分数据来源于NoteExpress
阿金博士采取的方法是建立起一种他称为可能行为动作的多维精确的决策空间。
His approach is to create what he calls a "multidimensional mathematical decision-space of possible behaviour actions".
学习是一种典型的强化学习,其学习效率较低,尤其是当状态空间和决策空间较大时。
Q-learning is a typical Reinforcement Learning (RL) method with a slow convergence speed especially as the scales of the state space and action space increase.
向量形式的对象描述和相似性的表示方法在某些适宜的决策空间中提供了较好的推广方法。
Vectorial object descriptions and proximity representations provide a good way for generalization in some appropriately determined Spaces.
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