Towards a framework for capturing interpretability of hierarchical fuzzy systems - a participatory design approach
- Submitting institution
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Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 35 - 1282052
- Type
- D - Journal article
- DOI
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10.1109/tfuzz.2020.2969901
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 00
- Volume
- 00
- Issue
- -
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
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4
- Research group(s)
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A - Computing and Informatics Research Centre
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In a collaboration among NTU, UoN, Kent University, and Neonatal Medicine of Queens Medical Centre (Dr Don Sharkey), the challenge of designing fuzzy systems for complex decision support is addressed by a novel framework that keeps the underlying processes transparent and interpretable for application domain experts. Following its primary application in improving neonatal intensive care operations (http://eprints.nottingham.ac.uk/id/eprint/59844), the proposed participatory-based methodology allows extending its applications to uncertain decision support systems, such as in early diagnosis of heart disease (eISSN 2600-8793 4(2)), in career pathway recommendation systems (10.24191/ji.v14i2.8535) both based at UTM Malaysia, and in software engineering process at UoN (10.1109/FUZZ-IEEE.2019.8859011).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
