Decision Support System Model

DSS(Decision Support System)is a field which deals with much knowledge.The paper provides the development of DSS, and then generalizes the DSS's forms from the point of view of structure. These are shown in the first two chapters.The paper places emphasis on the model system. Integrating BP and GA, the paper solves the problem of the model's establishment, selection and the parameter's identification in chapter three and chapter four. Chapter five gives a design of model system and the method of how to call models based on different language. It's unreasonable to expect that the user of DSS knows much about the models. So it is of great importance that realizing the model's automatic selection , establishment and the parameter's identification. Back propagation is widely used in many fields such as pattern identification, image processing, system identification. So is the Genetic algorithms. By BP and GA, those problems are solved.The last chapter refers to the DSS's trend.