基于可能区间集的模糊推理系统

A FUZZY REASONING SYSTEM BASED ON POSSIBILITY INTERVAL SET

由于用“点估计”不能完整地描述信息的不确定性,提议使用RUSPINI的基于可能区间集的模糊推理方法,即用区间值描述信息的不确定性.本文首先定义可能区间集合以及集合上的与、或、非运算;然后指出基于可能区间集的模糊推理系统的知识表示及推理算法;最后介绍我们在Turbo—Prolog系统基础上,增加一个外壳形成的基于可能区间集的模糊推理系统.

As using point estimation, the uncertainty of information can not be described thoroughly, we suggest using RUSPINI's fuzzy reasoning method based on possibility interval set using an interval value to described the uncertainty of information . First, this paper describes the definition of possibility interval set and AND, OR, NOT, operators on the set, then points out the knowledge representetion and reasoning algoritimc based on possibility interval set, Finally in this paper, we introduce our fuzzy reasoning system based on possibility interval set, by adding a shell system that runs on top of the TURBO PROLOG system.