基于动态模糊逻辑(DFL)的一种时序推理模型

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 .

A Kind of Inference Temporal Model Based on Dynamic Fuzzy Logic

In many real life situations, dynamic fuzzy events exist extensively. At the present time, with the development of computer science and technology, people attempt to simulate those dynamic fuzzy events with computers. For this reason, dynamic fuzzy logic, dynamic fuzzy sets, a kind of DFL-based learning model, and a design method of active database system are proposed in the related references. Although the proposed theories provide some theoretic basis for the solution of the problems having character of dynamic fuzzy, in the view of the whole dynamic fuzzy system, those works are initial, and many researches need to be done. The inference temporal model on dynamic fuzzy logic proposed in the paper is an addition to those works.