Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19187
- Type
- D - Journal article
- DOI
-
10.1109/TFUZZ.2020.2969901
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1-1
- Volume
- 0
- Issue
- -
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
https://kar.kent.ac.uk/80213/
- 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
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Interpretability is crucial in fuzzy systems design, especially when deployed for usage. This paper is significant because of the non-existence of an Hierarchical Fuzzy Systems (HFSs) interpretability measure, which is an open problem due to the complexity of subsystems, layers, and topologies. This is the first study to solve this problem, delivering a framework complemented with a participatory design approach. The work influenced the development of an interpretable HFS for a neonatal ICU, enabling staff to use their time more effectively.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
