Backward Fuzzy Rule Interpolation
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6741698
- Type
- D - Journal article
- DOI
-
10.1109/TFUZZ.2014.2303474
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1682
- Volume
- 22
- Issue
- 6
- ISSN
- 1063-6706
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- 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
- 38
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Archiving version of the novel work that enables fuzzy knowledge interpolation to function in environments where missing antecedents are frequently found in the rules. Earlier proof-of-concept version (not returned) received best paper award at 21st IEEE International Conference on Fuzzy Systems (foremost international annual conference in the subject area), selected from the 305 accepted papers globally. IEEE-TFS is one of the top-rated CS&I journals according to JCR by Clarivate.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -