Knowledge-based Method for Simulation Model Validation

Validation of simulation models is concerned with fidelity of models. As many kinds of knowledge, such as system specific, modeling and simulation, and also data analysis are required within it, knowledge-based intelligent method can be suitable for model validation. This method becomes possible because of three knowledge bases: validation knowledge base (VKB) which is stored with validation relevant knowledge, decision knowledge base (DKB) for intelligent inference and decision, and validation techniques base (VTB) making up of general validation algorithms. By analyzing the context of VKB, validation system decides the rational validation techniques and corresponding validation process. And then it designs experiment, analyses simulation results, executes validation process and generates validation report automatically. In addition, the acquisition of validation relevant knowledge was discussed.