Alpha-cut representation used for defuzzification in rule-based systems
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 8 - 1329181
- Type
- D - Journal article
- DOI
-
10.1016/j.fss.2020.05.008
- Title of journal
- Fuzzy Sets and Systems
- Article number
- -
- First page
- 110
- Volume
- 399
- Issue
- -
- ISSN
- 0165-0114
- Open access status
- Access exception
- Month of publication
- May
- Year of publication
- 2020
- 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)
-
A - Computing and Informatics Research Centre
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- As a result of 3 years collaboration between NTU, UoN, and USC in US (Prof Jerry Mendel, a well-known fuzzy logic pioneer and author), this paper introduces a novel merging between the two domains of fuzzy arithmeticians and fuzzy system engineering communities, so that a defuzzification method already known by arithmeticians is reformulated for fuzzy system design. Since it has shown a significant outperformance over classical defuzzifiers in chaotic time series prediction, a recently submitted EPSRC proposal (1316518) suggests its utilisation in pandemic modelling alongside other AI techniques. Moreover, ongoing collaborations with Prof Mendel is started for type-2 fuzzy extension.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
