主要讨论可信空间上最小风险原则下的两阶段供应链问题,即考虑在资本投入不超过给定费用值的情况下如何将投资者的风险降到最低。视供应链中的运输费用及顾客需求量为可信空间上的模糊变量,然后建立最小风险原则下的两阶段模糊供应链模型,并设计一种基于逼近方法的粒子群算法,最后通过数值试验验证算法的有效性。 It mainly discusses the two-stage supply chain problem under the principle of least risk in credible space, that is, how to minimize the risk of investors when the capital input does not exceed the given cost value. Considering the transportation costs and customer demand in the supply chain as the fuzzy variables in the trustworthy space, a two-stage fuzzy supply chain model with minimum risk principle is established and a particle swarm optimization algorithm based on the approximation method is designed. Finally, numerical experiments Verify the validity of the algorithm.