Output details
11 - Computer Science and Informatics
Queen's University Belfast
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Output 0 of 0 in the submission
Article title
A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics, Part A
Article number
-
Volume number
38
Issue number
6
First page of article
1385
ISSN of journal
1083-4427
Year of publication
2008
URL
-
Number of additional authors
1
Additional information
<22>This paper focuses on possibility theory, and proposed new information fusion methods to take into account the degree of consistency or contradictions among information from multiple sources. The paper deals with contextually inconsistent information in a novel, more structural way. The approaches proposed have been applied in practice to requirements engineering and the fusion of extracted information from multiple documents in Aerospace Manufacturing in the DEEPFLOW project funded by Invest Northern Ireland and SAP, and also involving Bombardier.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Knowledge and Data Engineering (KDE)
Citation count
6
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-