Decision Making Under Uncertainty

Decision Making Under Uncertainty refers to the method of optimizing the decision-making process through mathematical models and algorithms in uncertain environments. Its goal is to find optimal or near-optimal decision strategies under conditions of incomplete information or randomness, to maximize expected benefits or minimize risks. Research in this field has broad application value, including financial investment, supply chain management, medical diagnosis, autonomous driving, and more, effectively enhancing the scientific nature and reliability of decisions.