计算机工程与应用2011，Vol.47Issue(11)：233-235,3.DOI:10.3778/j.issn.1002-8331.2011.11.066
一种随机Petri网的模糊同构方法研究
Research on fuzzy isomorphic modeling method based on stochastic Petri nets
摘要
Abstract
Stochastic Petri nets can be mapped into a time-contmuous homogenous Markov chain with state space isomorphic to the reachability graph of SPN.While analyzing the system performance, the state space of stochastic Petri nets increase exponentially with the enlarger of the system scale,which cause the complexity of system modeling. Fuzzy Isomorphic Method(FIM) is presented, in which Fuzzy Mathematics(FM) and SPN are adopted as formal theory beses. Compared with traditional methods,Fuzzy Isomorphic Method can be reduced state space so as to easy isomorphic modeling system. As a example,it gets a closer look at the reliability of communication needed for moving-block operation of Europe Train Control System with Fuzzy Isomorphic Method.关键词
随机Petri网/连续时间马尔可夫链/模糊同构/仿真Key words
Stochastic Petri Nets(SPN)/continuous time Markov chain/fuzzy isomorphic/simulation分类
信息技术与安全科学引用本文复制引用
陈永,胡晓辉,王晓明..一种随机Petri网的模糊同构方法研究[J].计算机工程与应用,2011,47(11):233-235,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.10661007) （the National Natural Science Foundation of China under Grant No.10661007）
兰州交通大学青蓝工程资助项目. （）
