Induction of accurate and interpretable fuzzy rules from preliminary crisp representation
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29354559
- Type
- D - Journal article
- DOI
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10.1016/j.knosys.2018.02.003
- Title of journal
- Knowledge-Based Systems
- Article number
- -
- First page
- 152
- Volume
- 146
- Issue
- -
- ISSN
- 0950-7051
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel approach for efficiently learning accurate and interpretable linguistic rules. Published in the prestigious KBS journal. Despite its recency, it has led to a good number of further developments internationally, including influential research conducted by: Amazon; University of Alberta, Canada; Universities of Gävle and Jönköping, Sweden; AGH University of Science and Technology and Koszalin University of Technology, Poland; and Furtwangen University of Applied Science, Germany.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -