A Purchase Model with Unascertained Information

This paper presents a purchase model in which the price variables are unascertained numbers. First, the basic theory of unascertained information proposed recently is applied to construct a dynamical programming model of purchase problem. Then by using recursive method in a reverse order, the optimal solution in the meaning of minimizing the unascertained expectation of the purchase cost, is obtained. Sensitivity analysis of the optimal solution of this model indicates the model is robust. A numeral example is also constructed to illustrate the detail of the steps for finding an optimal solution