Measuring Component Importance for Network System Using Cellular Automata
This paper concentrates on the component importance measure of a network whose arc failure rates are not deterministic and imprecise ones. Conventionally, a computing method of component importance and a measure method of reliability stability are proposed. Three metrics are analyzed first: Birnbaum...
Saved in:
| Main Authors: | Li He, Qiyan Cao, Fengjun Shang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/3971597 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cities and cellular automata
by: Roger White
Published: (1998-01-01) -
Renormalisation of Quantum Cellular Automata
by: Lorenzo Siro Trezzini, et al.
Published: (2025-05-01) -
Simulation of earthquakes with cellular automata
by: P. G. Akishin, et al.
Published: (1998-01-01) -
Wireless sensor network nodes localization method based on cellular automata bat algorithm
by: Kailu MENG, et al.
Published: (2017-11-01) -
Tensor-networks-based learning of probabilistic cellular automata dynamics
by: Heitor P. Casagrande, et al.
Published: (2024-11-01)