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在我们生活的环境中，动态模糊事件是普遍存在的，而当今，随着计算机科学技术的发展，人们又试图用计算机来模拟这些具有“动态模糊性”的事件．因此，已往有关文献提出了动态模糊逻辑、动态模糊集、基于ＤＦＬ的一种学习模型及动态模糊主动数据库系统的设计方法和基本概念，这些理论的提出，虽然为人们解决具有动态模糊性的问题提供了一定的理论依据，但从整个动态模糊系统来看，这些工作仅仅是一些初步的工作，还有许多工作需进一步研究．文中给出的基于ＤＦＬ的时序推理模型正是这种工作的一个补充．
In our living environment, dynamic fuzzy events are ubiquitous. Nowadays, with the development of computer science and technology, people are trying to use computers to simulate these “ambiguous” events. Therefore, the previous literature has proposed dynamic fuzzy logic, dynamic fuzzy sets, a learning model based on DFL and dynamic fuzzy active database system design methods and basic concepts proposed by these theories, although for people to solve the problem with dynamic ambiguity Provide some theoretical basis, but from the entire dynamic fuzzy system, these jobs are just some initial jobs, and a lot of work needs to be further studied. The DFL-based timing reasoning model presented in this paper complements this work.