This paper characterizes quality,budget,and demand as fuzzy variables in a fuzzy vendor selec-tion expected value model and a fuzzy vendor selection chance-constrained programming model,to maxi-mize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm. This paper characterizes quality, budget, and demand as fuzzy variables in a fuzzy vendor selec- tion expected value model and a fuzzy vendor selection chance-constrained programming model, to maxi-mize the total quality level. The two models have distinct advantages over existing methods for selecting vendors in fuzzy environments. A genetic algorithm based on fuzzy simulations is designed to solve these two models. Numerical examples show the effectiveness of the algorithm.