摘要
针对贫血诊断的特点,将Petri网模糊化为模糊Petri网。提出了一种全新的模糊诊断推理机制。先采用逆向搜索策略对初始模糊Petri网进行约简,以减小推理网络的规模,加快推理速度;之后利用融合了极大代数运算的不确定性并行推理算法,确保较准确地推断出结果。最后,给出了一个实际贫血诊断算例。
In accordance with the characteristics of anemia diagnosis,the fuzzy Petri net is formed on the basis of Petri net.An entityly new reasoning algorithm applied to fuzzy diagnosis is presented in this paper.Firstly,the initial fuzzy Petri net is abstracted by using adverse searching method,in order to decrease the dimensions and accelerate reasoning speed.Then,by using uncertainty-reasoning algorithm,which adopts max-algebra method,resuh can be calculated with comparative accurate.A diagnostic example is given to test and verify the above theory and algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第11期222-224,共3页
Computer Engineering and Applications
作者简介
谭旭（1981-）,男,博士生,主要从事Petri网和智能决策方面的研究.E-mail：tanxu1981@163.com
谭泓,女,本科生.
陈英武,男,教授,博士,博士生导师.
