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在我们的研究领域中 ,普遍存在动态模糊事件 .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 ,以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 ,还有许多工作需要进一步研究 .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 field of study, dynamic fuzzy events are ubiquitous, and nowadays, with the development of computer science and technology, people are trying to use computers to simulate these events with “dynamic ambiguity.” Therefore, in the past, relevant literature proposed dynamic fuzzy Logic, dynamic fuzzy sets, a learning model based on DFL and the design method and basic concepts of dynamic fuzzy active database system. Although these theories have provided some theoretical basis for people to solve the problem of dynamic fuzzy, The entire dynamic fuzzy system, these efforts are only some preliminary work, there are many more work needs further study.The DFL-based timing reasoning model presented in this paper is a supplement to this work.