A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1318900
- Type
- D - Journal article
- DOI
-
10.1109/tfuzz.2017.2699168
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1079
- Volume
- 26
- Issue
- 2
- ISSN
- 1063-6706
- Open access status
- Compliant
- Month of publication
- April
- 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
-
3
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel algorithm for carrying out a critical part of the computational pipeline in inferencing with type-2 fuzzy sets (finding the switch points of defuzzification). It is the first to do so in a 'bounded'-time algorithm (it does not require an uncertain number of outer loop iterations), making it more useful for time-critical or real-time applications, as well as being quicker in most situations. The research led to new international collaborations with Wu (China) and Mendel (USA).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
