Fuzzy ingredient production operation optimization model

We establish a new type of ingredient production operation (IPO) model with fuzzy parameters by chance-constrained method in this article. Due to the problem of the designed ingredient production operation, which contains some fuzzy variable parameters defined by possibility distributions with infinite supports, generally, it is often infinite dimensional optimal problem that can not be processed directly through traditional programming algorithms. In order to solve above problem, the approximation of the credibility functions is studied in the ingredient production planning fuzzy chance-constrained model. And for solving this fuzzy IPO problem efficiently, the approximation approach (AA), neural network (NN) and genetic algorithm (GA) are contained to design an optimization method. In the end, the paper give a practical example to show the practicability of the proposed modelling ideals and solution method.