Research on knowledge modeling and joint simulation method of complex qualitative system

Complex systems which are widely existed in various fields, including society, economy, industry and military, are featured with complex composition, complex mechanism, complex interaction and energy exchange among subsystems and environment, as well as complex systematic behaviors like nonlinear, self-organization, well-up and chaos. Those features make the traditional quantitative Modeling and Simulation (M&S) difficult to probe into the complexity of complex systems. Aiming at describing the quantitative/qualitative synthetical system and implement the joint simulation, the related current M&S research was summarized, the architecture of the qualitative/quantitative comprehensive modeling and joint simulation oriented to complex system were stated, and the research of the two key technologies-qualitative modeling and qualitative/quantitative joint simulation were focused on. To solve the qualitative knowledge modeling problem oriented to complex system, a visualized fuzzy qualitative knowledge modeling method-Fuzzy Causal Directed Graph (FuzzyCDG) was stated, and its grammar as well as reasoning methods were discussed. Besides, a new qualitative/quantitative conversion technology which constructed the Membership Cloud Model based on the self-learning artificial neural network was stated. Finally, the primary application of the research fruits in an intelligent aero craft simulation system was given and the future research works were discussed.