Fuzzy temporal fault tree analysis of dynamic systems
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 105
- 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
- Technical exception
- Month of publication
- -
- Year of publication
- 2016
- URL
-
https://www.sciencedirect.com/science/article/abs/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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduced a methodology for explicitly highlighting the areas of uncertainty in the failure data by channelling expert judgement and capturing it into a formal approach using fuzzy sets, thus allowing deciding system reliability when statistical quantitative failure data are unavailable or insufficient. This work is important because it led to industrial collaboration with DNV GL SE and the approach developed in this work was applied to a practical system. Moreover, the concept proposed in this paper underpinned a successful collaborative bid for the £4.4 million Horizon 2020 DEIS project (grant: 732242).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
