摘要
为了建立一种有效的形式化方法，期望利用对象的不完全信息得到系统行为最为重要的结论，结合定性推理、模糊集合和概率论三种理论，发挥模糊集合在常识知识描述和概率论在解决随机性上的优点，本文提出了一种可信度增强的模糊定性仿真方法．
To develop a kind of valid formalization method,and to use incomplete knowledge to obtain important results,this paper provides a method called “Reliability Enhanced Fuzzy Qualitative Simulation”, which combines qualitative reasoning, fuzzy sets and theory of probability together. The method uses qualitative reasoning to build models,fuzzy sets to describe the common sense knowledge,and theory of probability to solve the uncertainties in simulation,and gives the most possible qualitative behavior under the user's current description.
出处
《自动化学报》
EI
CSCD
北大核心
1998年第1期124-128,共5页
Acta Automatica Sinica
基金
国家自然科学基金
关键词
定性建模
定性仿真
模糊集合
概率论
系统仿真
Qualitative modeling,qualitative simulation,fuzzy sets,theory of probability.
