Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Liverpool
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Article title
A Bayesian approach to fusing uncertain, imprecise and conflicting information
Type
D - Journal article
Title of journal
Information Fusion
Article number
-
Volume number
9
Issue number
2
First page of article
259
ISSN of journal
15662535
Year of publication
2008
URL
-
Number of additional authors
-
Additional information
This paper uses Bayesian solutions to five progressively difficult problems to question the need to extend Dezert-Smarandache Theory (DSmT) to solve such problems, arguing that the different paradigms are analogous to different languages for articulating the fundamental ideas. Funded as part of a £3M MoD project, “Detection and Identification of Difficult Targets”. A response to a previous special issue of the journal on a non-Bayesian paradigm for handling uncertainty. Provided a significant input into an important (classified) Dstl project (contact: Paul Thomas, pathomas@mail.dstl.gov.uk).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-