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Adaptive arbitration by variant counting on commutative bases with weights

Giuseppe Primiero UGent and Joke Meheus UGent (2008) Fusion 2008 : proceedings of the 11th International Conference on Information Fusion. p.1374-1380
abstract
In this paper a new logical arbitration protocol for fusion of inconsistent information is designed. It defines a selection of models of a premise set in a multi-modal logic that uses the standard format of adaptive logics. The selected models are obtained by a counting procedure on the derivable data conflicting among the various sources. Peculiar of this approach is the definition of weights for commutative bases, in terms of the distinction between partially and fully supported information. The results obtained are compared to standard arbitration protocols and they extend previous work on the adaptive majority protocol.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
information fusion, adaptive logic, multimodal logic, logical arbitration protocol, sensor fusion, formal logic
in
Fusion 2008 : proceedings of the 11th International Conference on Information Fusion
pages
1374 - 1380
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
11th International conference on Information Fusion (Fusion 2008)
conference location
Cologne, Germany
conference start
2008-06-30
conference end
2008-07-03
Web of Science type
Conference Paper
Web of Science id
10365862
ISBN
9783000248832
9783800730926
DOI
10.1109/ICIF.2008.4632371
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
436199
handle
http://hdl.handle.net/1854/LU-436199
date created
2008-11-04 15:55:00
date last changed
2015-06-17 11:04:38
@inproceedings{436199,
  abstract     = {In this paper a new logical arbitration protocol for fusion of inconsistent information is designed. It defines a selection of models of a premise set in a multi-modal logic that uses the standard format of adaptive logics. The selected models are obtained by a counting procedure on the derivable data conflicting among the various sources. Peculiar of this approach is the definition of weights for commutative bases, in terms of the distinction between partially and fully supported information. The results obtained are compared to standard arbitration protocols and they extend previous work on the adaptive majority protocol.},
  author       = {Primiero, Giuseppe and Meheus, Joke},
  booktitle    = {Fusion 2008 : proceedings of the 11th International Conference on Information Fusion},
  isbn         = {9783000248832},
  keyword      = {information fusion,adaptive logic,multimodal logic,logical arbitration protocol,sensor fusion,formal logic},
  language     = {eng},
  location     = {Cologne, Germany},
  pages        = {1374--1380},
  publisher    = {IEEE},
  title        = {Adaptive arbitration by variant counting on commutative bases with weights},
  url          = {http://dx.doi.org/10.1109/ICIF.2008.4632371},
  year         = {2008},
}

Chicago
Primiero, Giuseppe, and Joke Meheus. 2008. “Adaptive Arbitration by Variant Counting on Commutative Bases with Weights.” In Fusion 2008 : Proceedings of the 11th International Conference on Information Fusion, 1374–1380. Piscataway, NJ, USA: IEEE.
APA
Primiero, G., & Meheus, J. (2008). Adaptive arbitration by variant counting on commutative bases with weights. Fusion 2008 : proceedings of the 11th International Conference on Information Fusion (pp. 1374–1380). Presented at the 11th International conference on Information Fusion (Fusion 2008), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Primiero G, Meheus J. Adaptive arbitration by variant counting on commutative bases with weights. Fusion 2008 : proceedings of the 11th International Conference on Information Fusion. Piscataway, NJ, USA: IEEE; 2008. p. 1374–80.
MLA
Primiero, Giuseppe, and Joke Meheus. “Adaptive Arbitration by Variant Counting on Commutative Bases with Weights.” Fusion 2008 : Proceedings of the 11th International Conference on Information Fusion. Piscataway, NJ, USA: IEEE, 2008. 1374–1380. Print.