郑州大学学报(工学版)2019,Vol.40Issue(4):73-79,7.DOI:10.13705/j.issn.1671-6833.2019.04.030
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
摘要
Abstract
In order to solve the state explosion problem caused by the coupling of fuzzy causality and inaccu-rate 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 de-coupling 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 ob-servation 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.关键词
FDES/不确定性/时间约束/因果链解耦Key words
FDES/ uncertainty/ time constraint/ causal chain decoupling分类
信息技术与安全科学引用本文复制引用
朱春峰,刘琦,李东坤,徐巍..一种基于ODDT的FDES复合因果链层次化解耦方法[J].郑州大学学报(工学版),2019,40(4):73-79,7.基金项目
国家自然科学基金资助项目(61602422) (61602422)
国家重点研发计划项目(2018YFB1201403) (2018YFB1201403)
赛尔网络下一代互联网技术创新项目 (NGII20180702,NGII20160705) (NGII20180702,NGII20160705)