Extension of the Fuzzy Integral for General Fuzzy Set-Valued Information
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1333770
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2014.2302479
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1625
- 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
-
5
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper introduces a novel extension for the fuzzy integral - a flexible and powerful aggregation operator. For the first time, the proposed extension enables the appropriate handling of fuzzy set valued integrands, i.e. integrands that are distributions, which are not necessarily normal or convex. As real world data and data models are frequently not convex or normal, the proposed extension is of substantial relevance. The applicability of the method is shown using real-world data in the context of fusing multiple estimates of age-at-death in forensic anthropology.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
