A Hierarchical Decoupling Method of FDES Compound Causality Chain Based on ODDT
[1]Zhu Chunfeng,Liu Qi,Lee Dongkun,et al.A Hierarchical Decoupling Method of FDES Compound Causality Chain Based on ODDT[J].Journal of Zhengzhou University (Engineering Science),2019,40(04):13-.[doi:10.13705/j.issn.1671-6833.2019.04.030]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 04
Page number:
13-
Column:
Public date:
2019-07-10
- Title:
- A Hierarchical Decoupling Method of FDES Compound Causality Chain Based on ODDT
- Keywords:
- FDES; Uncertainty; time constraints; Causal chain decoupling
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2019.04.030
- Abstract:
- In order to solve the state explosion problem caused by the coupling of fuzzy causality and inaccurate information in complex system structure, this paper presents a hierarchical decoupling method based on ODDT for FDES composite causal chain.. The method first constructs a 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 are 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 is calculated and a hierarchical decoupling method based on ODDT is proposed
- References:
- -
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Last Update:
2019-07-29