Perishable goods was characterized by short sales period,low salvage,demand uncertainty etc.Since new generations are launched quickly,the information of probability distribution of the perishable goods market demand cannot be gotten due to lack of historical data.It is reasonable to give a subjective assessment by expert to the market demand.This paper characterizes the market demand of perishable goods as a fuzzy variables put forward by uncertainty theory,and make research on Stackelberg game of a supply chain with uncertain demand.Firstly,consider a supplier-dominant supply chain with one supplier and multi-retailers,a fuzzy bilevel expected value model and a fuzzy chanceconstrained model are fbrmulated for this kind of problem.To solve the problem, by simulating the decision process a hybrid algorithm based on particle swarm optimizer(PSO),neural network and fuzzy simulation is developed and numerical examples are provided to illustrate the effectiveness of the algorithm.Secondly, consider a retailer-dominant supply chain with one supplier and one retailer,a fuzzy bilevel expected value model is formulated.we define the fuzzy expected Stackelberg equilibrium strategy,and prove the existence of the equilibrium. |