Context-dependent combination of sensor information in Dempster–Shafer theory for BDI
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 888579
- Type
- D - Journal article
- DOI
-
10.1007/s10115-016-0978-0
- Title of journal
- Knowledge and Information Systems
- Article number
- -
- First page
- 259
- Volume
- 51
- Issue
- 1
- ISSN
- 0219-1377
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1007/s10115-016-0978-0
- 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
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Extensively extended from an CIMA'14 paper, this paper is the first in the literature on modelling uncertain and incomplete information from heterogeneous and unreliable sensors in SCADA systems using the Dempster–Shafer (DS) theory of evidence. The most significant contributions of the proposed approach are to extend the DS theory, which originally requires reliable information from independent sources, to discount unreliable information and deal with the conflicts between different sources. It is a main outcome of an EPSRC funded project with international collaboration, and offers potential benefits in well-informed intelligent decision-making in SCADA applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
