Case-Based Reasoning for Supply Chain Risk Assessment
- 管理学院－已发表论文 
供应链风险管理的重要性逐渐被人们认识。不确定偶发风险事件导致的供应链风险后果的估计是风险估计的难点所在。把人工智能中的案例推理技术引入供应链风险估计,较好地解决了案例的描述与存储组织、匹配案例的检索以及检索结果的调整等关键问题,设计了实用化的偶发风险估计原形系统。The importance of supply chain risk management has been recognized gradually. It is the real difficulty to assess the aftereffect of supply chain risk caused by uncertain contingent events. Using Case-Based Reasoning method to supply chain risk assessment, it successfully solves the problems like how to describe and save cases, how to find matching case, how to adjust the solution, etc. The prototype is designed.