Fuzzy temporal fault tree analysis of dynamic systems
- Submitting institution
-
The University of Hull
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1397649
- Type
- D - Journal article
- DOI
-
10.1016/j.ijar.2016.05.006
- Title of journal
- International Journal of Approximate Reasoning
- Article number
- -
- First page
- 20
- Volume
- 77
- Issue
- -
- ISSN
- 0888-613X
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2016
- URL
-
http://www.sciencedirect.com/science/article/pii/S0888613X16300743
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 38
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper led to extensions of HiP-HOPS with Fuzzy Logic concepts to address uncertainty in safety assessment and informed the DEIS EU research project (2017-2020, http://www.deis-project.eu/home/), specifically public metamodels for safety analysis under uncertainty in the Open Dependability Exchange and Digital Dependability Identity concepts (https://github.com/DEIS-Project-EU/DDI-Scripting-Tools). The ODE and DDI are under further development and standardisation in Europe. Germanischer Lloyd (who co-authored this paper) as well as DEIS partners AVL (Austria) and Siemens (Germany) have applied and published on this work, and contribute to its standardisation efforts. The paper contributes to the BIOLOGIC ICS.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -