An Integrated Application of Fuzzy Qualitative Modeling and Simulation
模糊定性建模与仿真集成实现

Qualitative reasoning is an inferring technique using qualitative model to derive new knowledge of and gain insight into a physical technical system in some specific issues. It has been applying in areas such as system diagnosis, system functional/behavior simulation, product design and synthesis. The main challenges are that the construction of qualitative model is difficult and its poor reasoning capability. The efficiency of those qualitative techniques is usually low and they can take a while to reach a valuable solution. This paper discusses the implementation of qualitative modeling and fuzzy qualitative simulation. We utilize model fragment library and object-oriented technique to make the modeling process more friendly and ease to use. The introduction of fuzzy sets makes it possible to solve the inherent defection of traditional qualitative reasoning encountered before. Furthermore, we provide ideas on software implementation and practical application.