Dynamic Fuzzy Rule Interpolation and Its Application to Intrusion Detection
- Submitting institution
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Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19132813
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2017.2755000
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1878
- Volume
- 26
- Issue
- 4
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- 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
-
2
- Research group(s)
-
-
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Novel approach to efficiently enriching the knowledge bases of approximate reasoning systems, by exploiting results of interpolative inference previously carried out. Despite its recency, it has led to many follow-on developments and has been consistently listed by IEEE-TFS over a sustained period as one of its top 50 most popular publications as publicised by its monthly statistics, first reaching number 1 position in December 2017, and reoccurring and staying as the number 1 most popular for 10 months, from August 2018 to May 2019, inclusive, and sitting in the top-three for much longer (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=91).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -