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模糊Petri网及其在模糊推理中的应用
引用本文:刘剑刚,高洁,王明哲.模糊Petri网及其在模糊推理中的应用[J].计算机仿真,2004,21(11):152-154.
作者姓名:刘剑刚  高洁  王明哲
作者单位:华中科技大学控制系,湖北,武汉,430074
摘    要:该文首先引入模糊Petri网(Fuzzy Petri Net)的定义,给出了一个九元模糊Petri网模型,并且详细介绍了模糊Petri网的激发规则。给出了产生式规则的模糊Petri网表示的三种模型,在此基础上提出了一种基于模糊Petri网的推理方法,最后使用模糊Petri网中知识表示和运行的基本算法解决了汽车质量检验和故障分析这一实际问题。实际应用证明基于模糊Petri网的产生式规则的推理具有知识表达能力强,处理不确定知识正确,推理过程简单直观,具有一定的智能推理能力,具有较强的实用价值。

关 键 词:模糊产生式规则  知识表达  模糊推理算法  标识
文章编号:1006-9348(2004)11-0152-03
修稿时间:2003年4月3日

Fuzzy Petri Net and Its Application in Uncertain Reasoning
LIU Jian-gang,GAO Jie,WANG Ming-zhe.Fuzzy Petri Net and Its Application in Uncertain Reasoning[J].Computer Simulation,2004,21(11):152-154.
Authors:LIU Jian-gang  GAO Jie  WANG Ming-zhe
Abstract:This paper introduces the definition of fuzzy Petri net (FPN), and gives a model of fuzzy Petri net. Rules firing transitions in fuzzy Petri net are introduced in detail. And this paper gives 3 kinds of fuzzy Petri net models for the representation of the fuzzy production rules. Based on the models, a useful algorithm for fuzzy Petri net is proposed. At last, the algorithm for fuzzy Petri net is applied to the quality inspection and accident analysis of automobile. Practical application proves the method has strong expression ability, simple reasoning process, certain intelligent reasoning abilities and it has better practical value.
Keywords:Fuzzy production rule  Knowledge representation  Fuzzy reasoning algorithm  Token
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