Research And Realization Of Model Base In Social Insurance Decision Support System

Decision Support System (DSS) is a man-machine conversation system which is used to aid decision making by using quantitative analysis way. DSS base on modern information technology and includes much knowledge such as computer technology, management science, etc. Now DSS is one of research hotspots of information field. Model Base System is the core of DSS. High efficient Model Base System is the key for DSS to practicality and success.The models in DSS have many kinds and change frequently. Creating model in traditional way focus on the process and the model created by this way is not easy to modify and expand, which decrease the efficiency of creating model and become the cause of blocking the wide use of DSS. In view of the deficiency of creating model by traditional way and enlightened by the idea of software reuses, this dissertation puts forward of guiding by the principle — "Based on software reuses and oriented to the application fields" and creating model by using object-oriented approaches.The essential of creating model by object-oriented approaches is the procedure of creating sub-classes by inheriting from parent class. Inheritance hierarchy improves the efficiency of establishing Model Base System in DSS and adds Model Base System's stability. Inheritance hierarchy also makes Model Base System easy to expansion. Polymorphism makes sub-model run much more flexible than ever. By using object-oriented approaches, the designer can understand, establish and manage large and complex Model Base System more easily.This dissertation first briefly introduce the basic knowledge of Model Base System in DSS, then based on analysis of the deficiency of creating model by traditional way, it presents in detail the design idea and the realizing way of object-oriented Model Base System. In the end, based on the decision problem in social insurance, I design an object-oriented Model Base System, which provides a very practicality tool formaking forecasting decision in social insurance.