一种基于ODDT的FDES复合因果链层次化解耦方法

A Hierar Chical Decoupling Method of FDES Complex Causality Chain Based on ODDT

针对复杂系统结构中模糊因果关系与不精确的信息相耦合所产生的状态爆炸问题,提出一种基于ODDT的FDES复合因果链层次化解耦方法.该方法基于时间约束下复合因果链解耦的Petri网模型(TC-PPN),并以合并状态信息和时序信息为基础,通过构造观测信息的时间约束图,以时间证据合并的方法分析离散事件在时间维度上的可观性,进而提出了FDES中复杂系统在时间维度上的模糊可观程度概念及测量方法.最后根据全局状态的时间信息计算其可观程度,构造出一种基于ODDT的FDES复合因果链层次化解耦方法.

In order to solve the state explosion problem caused by the coupling of fuzzy causality and inaccurate information in complex system structure,in this paper a hierarchical decoupling method based on ODDT for FDES composite causal chain was proposed.The method was based on Petri nets model(TC-PPN)for decoupling the causal chain under the time constraints.Then based on the merged state information and timing information,the conception and measurement method of Observable Degree in Dimensionality of Time(ODDT)of complex systems in FDES were further proposed by constructing the time constrained graph of observation information.Finally,based on the time information of the global state,the degree of observability was calculated and a hierarchical decoupling method based on ODDT was proposed.